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Статті в журналах з теми "Personalized medical device"
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Zhu, Zhengxu, and Ray Y. Zhong. "A digital twin enabled wearable device for customized healthcare." Digital Twin 2 (November 28, 2022): 17. http://dx.doi.org/10.12688/digitaltwin.17717.1.
Повний текст джерелаАнотація:
Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.
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Murthy, Rupa. ""Personalized Medicine" : An Innovative Concept." International Journal of Health and Medicine 3, no. 1 (March 30, 2018): 1. http://dx.doi.org/10.24178/ijhm.2018.3.1.01.
Повний текст джерелаАнотація:
"Personalized Medicine" is about empowering patients to have access to their health information at all times.[1] Empowering implies patient participation through the ongoing process of diagnosis, treatment, and rehabilitation.[1] More importantly, "Personalized Medicine" is about having insights into one's health by being able to visualize, recognize, and take timely corrective action when necessary.[1] As important time may be wasted when looking for information during emergencies resulting in delays and potential medical errors, "Personalized Medicine" offers a way for medical and emergency personnel to immediately obtain accurate, adequate patient information which can be useful, especially if the patient is unable to communicate verbally.[1] By drawing insights from one's health data "Personalized Medicine" enables patients to seek medical care early on and helps them to make the right treatment choices.[1] Storing, retrieving and having access to one's health information, being able to edit and update it when necessary, the ability to draw valuable insight's from one's health data, and the availability of personal health information for quick and easy access by medical personnel and first responders encompasses the concept of “Personalized Medicine”.[1] Microchip technology can make patient information more accessible especially in rural and remote areas.[1] It improves productivity and quality of patient care by providing patients with the relevant information for making better treatment choices and reduces the cost of health care through early diagnosis and treatment.[1] A micro-chipped Personalized Medical Card is a convenient medium to store and retrieve up-to-date health information.[1] By conforming to the standards of privacy and security patient's can have access to their health data without compromising their personal information.[1] A subcutaneous gold-plated microchip insert designed to store vital life saving patient information can be accessed via a smartphone, tablet, or other electronic device from anywhere, anytime.[1] The gold-plated microchip implant is inserted underneath the patient's skin and contained in the subcutaneous layer.[1] The gold-plated microchip has a wireless connection with the device using the state-of-the-art technology and can be paired with a software application that can be readily edited and updated.[1] Therefore, the device saves not only extensive amount of time and effort but also eliminates the need for unnecessary medical tests and treatment.[1] In addition, timely access to updated information can prevent written or spoken patient information which might be lost in transition or translation thereby leading to medication error or wrong treatment.[1] A gold-plated microchip inserted inside the patient's body as a medical device or tagged to a medical device allows patient self-monitoring of vital statistics of specific conditions such as heart disease, diabetes, kidney functions and other metrics associated with different aspects of body function.[1] It acts as a sensor which enables patients to monitor vital parameters of their condition precisely in real time and allows them to lead independent and more productive lives without the need for continuous monitoring or medical supervision.[1] It could potentially be used for investigating structural and functional abnormalities of the heart, liver, kidney, etc.[1] The gold-plated microchip can prove useful in the treatment of conductive disorders such as dysaarythmias and to mitigate symptoms and dysfunction due to myocardial infarction, neurodegenerative disorders, chronic renal disorders, etc.[1] With soaring health care costs the patient's ability to manage their health condition with ease and convenience in the absence of their health care providers empowers patients to enhance their productivity and quality of life, and reduce the cost of care.[1] In addition to patient participation, leveraging technology drives better outcomes and empowers patients to lead a better quality of life which essentially is the true objective of "Personalized Medicine".[1]
"Personalized Medicine" is a patented concept.[1] If you are interested as an investor or partner for "Personalized Medicine" please contact me at dr.rupamurthy@yahoo.com
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Peirlinck, M., F. Sahli Costabal, J. Yao, J. M. Guccione, S. Tripathy, Y. Wang, D. Ozturk, et al. "Precision medicine in human heart modeling." Biomechanics and Modeling in Mechanobiology 20, no. 3 (February 12, 2021): 803–31. http://dx.doi.org/10.1007/s10237-021-01421-z.
Повний текст джерелаАнотація:
AbstractPrecision medicine is a new frontier in healthcare that uses scientific methods to customize medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person. In cardiovascular health, precision medicine has emerged as a promising paradigm to enable cost-effective solutions that improve quality of life and reduce mortality rates. However, the exact role in precision medicine for human heart modeling has not yet been fully explored. Here, we discuss the challenges and opportunities for personalized human heart simulations, from diagnosis to device design, treatment planning, and prognosis. With a view toward personalization, we map out the history of anatomic, physical, and constitutive human heart models throughout the past three decades. We illustrate recent human heart modeling in electrophysiology, cardiac mechanics, and fluid dynamics and highlight clinically relevant applications of these models for drug development, pacing lead failure, heart failure, ventricular assist devices, edge-to-edge repair, and annuloplasty. With a view toward translational medicine, we provide a clinical perspective on virtual imaging trials and a regulatory perspective on medical device innovation. We show that precision medicine in human heart modeling does not necessarily require a fully personalized, high-resolution whole heart model with an entire personalized medical history. Instead, we advocate for creating personalized models out of population-based libraries with geometric, biological, physical, and clinical information by morphing between clinical data and medical histories from cohorts of patients using machine learning. We anticipate that this perspective will shape the path toward introducing human heart simulations into precision medicine with the ultimate goals to facilitate clinical decision making, guide treatment planning, and accelerate device design.
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Hutchison, Stephen, Michael Grandner, Zohar Bromberg, Zoe Morrell, Arnulf Graf, and Dustin Freckleton. "0101 Performance of a Multisensor Ring to Evaluate Sleep At-Home Relative to PSG and Actigraphy: Importance of Generalized Versus Personalized Scoring." Sleep 45, Supplement_1 (May 25, 2022): A45—A46. http://dx.doi.org/10.1093/sleep/zsac079.099.
Повний текст джерелаАнотація:
Abstract Introduction Multisensor sleep wearable devices have demonstrated utility for research and relative accuracy for discerning sleep-wake patterns at home and in the laboratory. Additional sensors and more complex scoring algorithms may improve the ability of wearables to assess sleep health. Methods Thirty-six healthy adults completed assessment while wearing the experimental device (Happy Ring), as well as Philips Actiwatch, Fitbit, Oura, and Whoop devices. Evaluations at home were conducted using the Dreem headband as an at-home polysomnography reference. The experimental Happy Ring device includes accelerometry, photoplethysmography, electrodermal activity, and skin temperature. Epoch-by-epoch analyses compared the Happy Ring to home polysomnography, as well as other sleep-tracking wearable devices. Scoring was accomplished using two machine-learning-derived algorithms: a “generalized” algorithm, similar to that used in other devices, which was static and applied to all users, and a “personalized” algorithm where parameters are personalized, dynamic, and change based on data collected across different parts of the night of sleep. Results Compared to home polysomnography, the Happy generalized algorithm demonstrated good sensitivity (94%) and specificity (67%), and the Happy personalized algorithm also performed well (93% and 75%, respectively). Other devices demonstrated good sensitivity, ranging from 91% (Whoop) to 96% (Oura). However, specificity was more variable, ranging from 41% (Actiwatch) to 60% (Fitbit). Overall accuracy using the Happy Ring was 91% for generalized and 92% for personalized algorithms, compared to 92% for Oura, 89% for Whoop, 89% for Fitbit, and 89% for Actiwatch. Regarding sleep stages, accuracy for the Happy Ring was 66%, 83%, and 78% for light, deep, and REM sleep, respectively, for the generalized algorithm. For the personalized algorithm accuracy was 78%, 92%, and 95%, for light, deep and REM sleep, respectively. Post-hoc analyses showed that the Happy personalized algorithm demonstrated better specificity than all other modalities (p<0.001). Kappa scores were 0.42 for generalized and 0.60 for personalized, compared to 0.45 for Oura, 0.47 for Whoop, and 0.48 for Fitbit. Conclusion The multisensory Happy ring demonstrated good sensitivity and specificity for the detection of sleep at home. The personalized approach outperformed all others, representing a potential innovation for improving detection accuracy. Support (If Any) Dr. Grandner is supported by R01DA051321 and R01MD011600. This work was supported by Happy Health, Inc.
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Kampusch, Stefan, Eugenijus Kaniusas, Florian Thürk, Dorian Felten, Ibolya Hofmann, and Jozsef C. Széles. "Device development guided by user satisfaction survey on auricular vagus nerve stimulation." Current Directions in Biomedical Engineering 2, no. 1 (September 1, 2016): 593–97. http://dx.doi.org/10.1515/cdbme-2016-0131.
Повний текст джерелаАнотація:
AbstractDevelopment of wearable point-of-care medical devices faces many challenges. Besides technological and clinical issues, demands on robustness, miniaturization, and user interface design are of paramount importance. However, a systematic assessment of these non-functional but essential requirements is often impossible within the first product cycle. Later, surveys on user satisfaction with existing devices and user demands can offer significant input for device re-development and improvement. In this paper, we present a survey on satisfaction with and demands for a wearable medical device for percutaneous auricular vagus nerve stimulation (pVNS). We analyzed 36 responses from patients treated with pVNS and five responses from experienced physicians in order to devise a future concept of pVNS. Main shortcomings of a current pVNS device were identified to be lacking water resistance and mechanical robustness, both impairing daily activities. Painful sensation during pVNS application, unwanted side effects like skin irritations and strongly varying perception of the stimulation were reported. Results urge for more patient self-governance and an (automatic) adjustment of the stimulation to the current physiological state of the patient. Attained results support a strategic approach for future developments of pVNS towards personalized health care.
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Tasnim, Farita, Atieh Sadraei, Bianca Datta, Mina Khan, Kyung Yun Choi, Atharva Sahasrabudhe, Tomás Alfonso Vega Gálvez, et al. "Towards personalized medicine: the evolution of imperceptible health-care technologies." foresight 20, no. 6 (November 12, 2018): 589–601. http://dx.doi.org/10.1108/fs-08-2018-0075.
Повний текст джерелаАнотація:
Purpose When wearable and implantable devices first arose in the 1970s, they were rigid and clashed dramatically with our soft, pliable skin and organs. The past two decades have witnessed a major upheaval in these devices. Traditional electronics are six orders of magnitude stiffer than soft tissue. As a result, when rigid electronics are integrated with the human body, severe challenges in both mechanical and geometrical form mismatch occur. This mismatch creates an uneven contact at the interface of soft-tissue, leading to noisy and unreliable data gathering of the body’s vital signs. This paper aims to predict the role that discreet, seamless medical devices will play in personalized health care by discussing novel solutions for alleviating this interface mismatch and exploring the challenges in developing and commercializing such devices. Design methodology/approach Since the form factors of biology cannot be changed to match those of rigid devices, conformable devices that mimic the shape and mechanical properties of soft body tissue must be designed and fabricated. These conformable devices play the role of imperceptible medical interfaces. Such interfaces can help scientists and medical practitioners to gain further insights into the body by providing an accurate and reliable instrument that can conform closely to the target areas of interest for continuous, long-term monitoring of the human body, while improving user experience. Findings The authors have highlighted current attempts of mechanically adaptive devices for health care, and the authors forecast key aspects for the future of these conformable biomedical devices and the ways in which these devices will revolutionize how health care is administered or obtained. Originality/value The authors conclude this paper with the perspective on the challenges of implementing this technology for practical use, including device packaging, environmental life cycle, data privacy, industry partnership and collaboration.
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Hughes, Andrew D., Jeff Mattison, Laura T. Western, John D. Powderly, Bryan T. Greene, and Michael R. King. "Microtube Device for Selectin-Mediated Capture of Viable Circulating Tumor Cells from Blood." Clinical Chemistry 58, no. 5 (May 1, 2012): 846–53. http://dx.doi.org/10.1373/clinchem.2011.176669.
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Abstract BACKGROUND Circulating tumor cells (CTCs) can be used clinically to treat cancer. As a diagnostic tool, the CTC count can be used to follow disease progression, and as a treatment tool, CTCs can be used to rapidly develop personalized therapeutic strategies. To be effectively used, however, CTCs must be isolated at high purity without inflicting cellular damage. METHODS We designed a microscale flow device with a functionalized surface of E-selectin and antibody molecules against epithelial markers. The device was additionally enhanced with a halloysite nanotube coating. We created model samples in which a known number of labeled cancer cells were suspended in healthy whole blood to determine device capture efficiency. We then isolated and cultured primary CTCs from buffy coat samples of patients diagnosed with metastatic cancer. RESULTS Approximately 50% of CTCs were captured from model samples. Samples from 12 metastatic cancer patients and 8 healthy participants were processed in nanotube-coated or smooth devices to isolate CTCs. We isolated 20–704 viable CTCs per 3.75-mL sample, achieving purities of 18%–80% CTCs. The nanotube-coated surface significantly improved capture purities (P = 0.0004). Experiments suggested that this increase in purity was due to suppression of leukocyte spreading. CONCLUSIONS The device successfully isolates viable CTCs from both blood and buffy coat samples. The approximately 50% capture rate with purities >50% with the nanotube coating demonstrates the functionality of this device in a clinical setting and opens the door for personalized cancer therapies.
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Aretxabaleta, Maite, Ariadne Roehler, Christian F. Poets, Alexander B. Xepapadeas, Bernd Koos, and Christina Weise. "Automation of Measurements for Personalized Medical Appliances by Means of CAD Software—Application in Robin Sequence Orthodontic Appliances." Bioengineering 9, no. 12 (December 6, 2022): 773. http://dx.doi.org/10.3390/bioengineering9120773.
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Measuring the dimensions of personalized devices can provide relevant information for the production of future such devices used in various medical specialties. Difficulties with standardizing such measurement and obtaining high accuracy, alongside cost-intensive measuring methodologies, has dampened interest in this practice. This study presents a methodology for automatized measurements of personalized medical appliances of variable shape, in this case an orthodontic appliance known as Tübingen Palatal Plate (TPP). Parameters such as length, width and angle could help to standardize and improve its future use. A semi-automatic and custom-made program, based on Rhinoceros 7 and Grasshopper, was developed to measure the device (via an extraoral scanner digital file). The program has a user interface that allows the import of the desired part, where the user is able to select the necessary landmarks. From there, the program is able to process the digital file, calculate the necessary dimensions automatically and directly export all measurements into a document for further processing. In this way, a solution for reducing the time for measuring multiple dimensions and parts while reducing human error can be achieved.
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Akki, Rajesh, MUNAGALA GAYATRI RAMYA, K. Chinni Krishna, and Singaram Kathirvel. "Fabrication of drug eluting medical device for treating stenosis by 3D printing and dip coating using aspirin as a model drug." Journal of Drug Delivery and Therapeutics 9, no. 6-s (December 15, 2019): 148–54. http://dx.doi.org/10.22270/jddt.v9i6-s.3767.
Повний текст джерелаАнотація:
3D printing is a new innovative manufacturing method for fabrication of customized medical devices. The customized medical devices & long-lasting implantable devices.has increasing demand for addressing some critical cases in surgeries.
The main aim of this work was to explore the potential of 3D printing in Fabrication of medical devices and prosthetics. The characters of the polymers, the features of softwares were studied.
The study showed that drug loading into filament through hot melt extrusion and followed by 3D printing has many defects such as denaturing of drugs at higher printing temperatures.
The invention discloses the dip coating process after fabrication of a 3D printed polymer structure. The drug release depends up on the surface area of the device, coated polymer, concentration of drug and thickness of the coat.
The method for preparing the personalized drug eluting coronary stent / Bone wedges / Braces comprises the step that according to image data of coronary angiogram or volume rendered data from CT scans. The designing was done by adopting a QCA technique for measuring the diameter of a diseased coronary artery and reconstructing in a three-dimensional manner. According to indexes such as lesion vascular diameter, lesion length and lesion vascular pattern, a personalized coronary stent can be made for each patient in a customized manner and a stent most suitable for the lesion state of a patient can be prepared.
Keywords: 3D printing, manufacturing method, Fabrication of medical devices
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Joo, Hyunwoo, Youngsik Lee, Jaemin Kim, Jeong-Suk Yoo, Seungwon Yoo, Sangyeon Kim, Ashwini Kumar Arya, et al. "Soft implantable drug delivery device integrated wirelessly with wearable devices to treat fatal seizures." Science Advances 7, no. 1 (January 2021): eabd4639. http://dx.doi.org/10.1126/sciadv.abd4639.
Повний текст джерелаАнотація:
Personalized biomedical devices have enormous potential to solve clinical challenges in urgent medical situations. Despite this potential, a device for in situ treatment of fatal seizures using pharmaceutical methods has not been developed yet. Here, we present a novel treatment system for neurological medical emergencies, such as status epilepticus, a fatal epileptic condition that requires immediate treatment, using a soft implantable drug delivery device (SID). The SID is integrated wirelessly with wearable devices for monitoring electroencephalography signals and triggering subcutaneous drug release through wireless voltage induction. Because of the wireless integration, bulky rigid components such as sensors, batteries, and electronic circuits can be moved from the SID to wearables, and thus, the mechanical softness and miniaturization of the SID are achieved. The efficacy of the prompt treatment could be demonstrated with animal experiments in vivo, in which brain damages were reduced and survival rates were increased.
Дисертації з теми "Personalized medical device"
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Turetsky, Anna. "Companion Imaging Probes and Diagnostic Devices for B-Cell Lymphoma." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13094356.
Повний текст джерелаАнотація:
As new therapeutic targets and drugs are discovered for B-cell lymphoma and other cancers, companion diagnostics are also needed to determine target engagement, therapeutic efficacy, and patient segmentation for clinical trials. We first employed synthetic chemistry to build a platform for modifying small molecule drugs into imaging probes, using the poly(ADP-ribose) polymerase 1 (PARP1) inhibitor AZD2281 (Olaparib) as a model for technology development. Our results showed that small-molecule companion imaging drugs can be used for fluorescence imaging in cells, as well as for pharmacokinetic studies and positron emission tomography (PET) imaging in vivo, without significantly perturbing their target binding properties or cellular uptake. To apply this approach to B-cell lymphoma drugs currently in clinical trials, we modified an irreversible inhibitor of Bruton's Tyrosine Kinase (BTK), PCI-32765 (Ibrutinib), with the fluorophore Bodipy FL (BFL), and used it for imaging in cells and in a mouse window-chamber xenograft model. The excellent co-localization of our probe (Ibrutinib-BFL) with BTK demonstrated its utility for studying additional BTK inhibitors and as a companion imaging probe. In parallel, we hypothesized that central nervous system (CNS) lymphoma diagnosis from paucicellular cerebrospinal fluid (CSF) samples could be improved with molecular profiling of putative lymphoma cells trapped in a customized microfluidic chip. Following fabrication and characterization of a polydimethylsiloxane (PDMS) diagnostic device containing an array of affinity-free single-cell capture sites, we were able to efficiently recover >90% of lymphocytes, perform immunostaining on chip, and apply an image-processing algorithm to group cells based on their molecular marker expression, such as kappa/lambda light chain restriction. Additionally, in combination with Ibrutinib-BFL or other imaging drugs, we demonstrated the potential for on-chip drug imaging for use in conjunction with drug development. Finally, we applied bioorthogonal conjugation chemistries on cellulose paper for potential applications in lowering the cost of drug screening. We anticipate that these approaches will enable direct, molecular information for personalized treatment decisions in B-cell lymphomas, as well as provide a roadmap for the development of companion diagnostic probes and devices for additional indications.
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Richardson, Kevin Thomas. "DESIGN AND ANALYSIS OF A 3D-PRINTED, THERMOPLASTIC ELASTOMER (TPE) SPRING ELEMENT FOR USE IN CORRECTIVE HAND ORTHOTICS." UKnowledge, 2018. https://uknowledge.uky.edu/me_etds/127.
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This thesis proposes an algorithm that determine the geometry of 3D-printed, custom-designed spring element bands made of thermoplastic elastomer (TPE) for use in a wearable orthotic device to aid in the physical therapy of a human hand exhibiting spasticity after stroke. Each finger of the hand is modeled as a mechanical system consisting of a triple-rod pendulum with nonlinear stiffness at each joint and forces applied at the attachment point of each flexor muscle. The system is assumed quasi-static, which leads to a torque balance between the flexor tendons in the hand, joint stiffness and the design force applied to the fingertip by the 3D-printed spring element. To better understand material properties of the spring element’s material, several tests are performed on TPE specimens printed with different infill geometries, including tensile tests and cyclic loading tests. The data and stress-strain curves for each geometry type are presented, which yield a nonlinear relationship between stress and strain as well as apparent hysteresis. Polynomial curves are used to fit the data, which allows for the band geometry to be designed. A hypothetical hand is presented along with how input measurements might be taken for the algorithm. The inputs are entered into the algorithm, and the geometry of the bands for each finger are generated. Results are discussed, and future work is noted, providing a means for the design of a customized orthotic device.
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Servi, Michaela. "RE&AM-based methods and tools for biomedical engineering." Doctoral thesis, 2020. http://hdl.handle.net/2158/1188798.
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In line with recent approaches to personalized medicine, where 3D technologies are rapidly becoming a new concept of treatment based on the ability to model patient-specific devices, this work aims to analyze the life cycle of a customized device in order to achieve a related systematic production, in the effort to provide tools that can be introduced into clinical practice and used directly by hospital staff. In this context, tools for arm acquisition and modeling of custom orthoses have been developed, as well as tools for monitoring and treatment of thoracic malformations.
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Martins, Maria Inês Mora. "3D Modeling Applied to the Manufacture of Personalized Bioceramic Medical Devices." Master's thesis, 2019. https://hdl.handle.net/10216/119528.
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Gomes, Cristina Pereira. "Dispositivos médicos e medicina personalizada." Master's thesis, 2019. http://hdl.handle.net/10451/43376.
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Trabalho Final de Mestrado Integrado, Ciências Farmacêuticas, Universidade de Lisboa, Faculdade de Farmácia, 2019Nos últimos anos, a área dos dispositivos médicos e da medicina personalizada tem atraído a atenção da comunidade científica em diversas áreas. Os dispositivos médicos são importantes produtos de saúde que estão abrangem uma enorme variedade e que estão presentes ao longo de toda a vida. Estes têm capacidade para contribuir para várias funções no diagnóstico, no tratamento e na prevenção de diversas patologias. A inovação no setor é uma realidade contribuindo para melhores cuidados de saúde. Graças ao aumento do conhecimento do genoma humano tem havido um crescente interesse pela personalização dos cuidados de saúde e pela estratificação dos indivíduos de acordo com características genéticas e biomarcadores, através da utilização de companion diagnostic tests (dispositivos médicos in vitro) para seleção da terapêutica. A medicina personalizada vem também aplicar a tecnologia de impressão tridimensional (3D) na personalização de dispositivos médicos que irão mudar a qualidade de vida dos doentes. Esta tecnologia, representada através de diversas técnicas de impressão 3D, permitiu uma mudança no paradigma da projeção e do fabrico de produtos personalizados de acordo com as necessidades individuais, nomeadamente na produção de próteses personalizadas. A impressão 3D é uma tecnologia que pode ser aplicada em diversas áreas, incluindo a Medicina. Vários materiais e equipamentos podem ser utilizados, o que demonstra a versatilidade desta tecnologia. Existem várias técnicas de impressão 3D, nomeadamente: sinterização seletiva a laser, impressão térmica a jato de tinta e modelagem de deposição fundida, sendo estas as mais utilizadas nas áreas da medicina e farmacêutica. Adicionalmente, este trabalho apresenta algumas considerações futuras, uma vez que tanto o conceito de medicina personalizada como o uso da tecnologia de impressão 3D são temas recentes e que têm muitos desafios a ultrapassar para serem postos em prática.
In recent years, medical devices and personalized medicine haves attracted the attention of the scientific community in various disciplines. Medical devices are importante healthcare products that are available in huge variety and are present during human lifetime. Medical devices have the ability to contribute to the diagnosis, treatment and also prevention of several pathologies. Innovation in the field is increasing the quality of healthcare management. Thanks to the increased knowledge of the human genome, there has been increasing interest in the personalization of health care and the stratification of individuals according to genetic characteristics and biomarkers through the use of companion diagnostic tests (in vitro medical devices) for therapy selection. Personalized medicine also applies three-dimensional (3D) printing technology to customize medical devices that will change patients' quality of life. This technology, represented throught various 3D printing techniques, allowed a change in the paradigm of projection and manufacture of customized products according to individual needs, namely in the production of custom prostheses. Tridimensional priting is a technology that can be applied in different areas, including Medicine. Several materials and equipments may be used, which shows the versatility of this technology. There are several 3D printing techniques, such as: selective laser sintering, thermal inkjet printing and fused deposition modeling, which are the most used in the fields of medicine and pharmaceutics. In addition, this dissertation presents some future considerations, since both the concept of personalized medicine and the use of 3D printing technology are recent topics facing many challenges.
Книги з теми "Personalized medical device"
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Bernd, Blobel, Pharow Peter, and Parv Liisa, eds. pHealth 2013: Proceedings of the 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health, June 26-28, 2013, Tallin, Estonia. Amsterdam: IOS Press, 2013.
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Bernd, Blobel, Pharow Peter, and Sousa Filipe, eds. pHealth 2012: Proceedings of the 9th International Conference on Wearable Micro and Nano Technologies for Personalized Health, June 26-28, 2012, Porto, Portugal. Washington, D.C: IOS Press, 2012.
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Bernd, Blobel, Pharow Peter, and Sousa Filipe, eds. pHealth 2012: Proceedings of the 9th International Conference on Wearable Micro and Nano Technologies for Personalized Health, June 26-28, 2012, Porto, Portugal. Amsterdam: IOS Press, 2012.
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Narayan, Roger J., ed. Additive Manufacturing in Biomedical Applications. ASM International, 2022. http://dx.doi.org/10.31399/asm.hb.v23a.9781627083928.
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Volume 23A provides a comprehensive review of established and emerging 3D printing and bioprinting approaches for biomedical applications, and expansive coverage of various feedstock materials for 3D printing. The Volume includes articles on 3D printing and bioprinting of surgical models, surgical implants, and other medical devices. The introductory section considers developments and trends in additively manufactured medical devices and material aspects of additively manufactured medical devices. The polymer section considers vat polymerization and powder-bed fusion of polymers. The ceramics section contains articles on binder jet additive manufacturing and selective laser sintering of ceramics for medical applications. The metals section includes articles on additive manufacturing of stainless steel, titanium alloy, and cobalt-chromium alloy biomedical devices. The bioprinting section considers laser-induced forward transfer, piezoelectric jetting, microvalve jetting, plotting, pneumatic extrusion, and electrospinning of biomaterials. Finally, the applications section includes articles on additive manufacturing of personalized surgical instruments, orthotics, dentures, crowns and bridges, implantable energy harvesting devices, and pharmaceuticals. For information on the print version of Volume 23A, ISBN: 978-1-62708-390-4, follow this link.
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Cabalquinto, Earvin Charles B. (Im)mobile Homes. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197524831.001.0001.
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The home is at the forefront of rapid transformation brought upon the expansion of globalizing economies, transnational migration, and the widespread uptake of ubiquitous digital communication technologies. This book unravels how geographically dispersed family members use smartphones, social media, and mobile applications in forging and sustaining long-distance relationships. It foregrounds the diverse, personalized, intimate, and creative mobile practices of fragmented family members in the enactment of everyday household interactions, festivities, homeland connections, and crisis management. On the one hand, mobile device use facilitates transnational connectivity, paving the way for enabling intimate ties, care expressions, and homeland linkages. Yet, communicative tensions also arise when digital routines are shaped by uneven familial expectations, differential financial conditions, asymmetrical technological access and capacities, work conditions, and migration policies and processes. It is by deploying various strategies that transnational family members cope with an often unstable, unsettling, and ambivalent networked environment. Ultimately, this book provides a nuanced perspective on examining the mobilization of a home from afar in the age of smartphones and mobile applications.
Частини книг з теми "Personalized medical device"
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Muñoz, Romina, Ana Paula Narata, and Ignacio Larrabide. "ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 97–105. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59725-2_10.
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McCarthy, Gillian M., Edgar R. Rodríguez Ramírez, and Brian J. Robinson. "Letters to Medical Devices: A Case Study on the Medical Device User Requirements of Female Adolescents and Young Adults with Type 1 Diabetes." In Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors, 69–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55134-0_6.
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Zenner, Hans P., and Mijo Božić. "Clinical Evaluation of Medical Devices in Europe." In Personalized Medicine in Healthcare Systems, 21–32. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2_2.
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Lantada, Andrés Díaz, Pilar Lafont Morgado, and Carlos Jahel Ojeda Díaz. "Medical Imaging-Aided Design of Personalized Devices." In Handbook on Advanced Design and Manufacturing Technologies for Biomedical Devices, 75–94. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6789-2_5.
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Díaz Lantada, Andrés, William Solórzano, Adrián Martínez Cendrero, Rodrigo Zapata Martínez, Carlos Ojeda, and Juan Manuel Munoz-Guijosa. "Methods and Technologies for the Personalized Design of Open-Source Medical Devices." In Engineering Open-Source Medical Devices, 191–218. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79363-0_9.
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Cai, Yang, Yi Yang, Alexander Hauptmann, and Howard Wactlar. "Monitoring and Coaching the Use of Home Medical Devices." In Health Monitoring and Personalized Feedback using Multimedia Data, 265–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17963-6_14.
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(Mary) Tai, Hsueh-Yung, and Yu-Pin Chang. "Coverage of Advanced Treatments and Medical Devices." In Digital Health Care in Taiwan, 171–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05160-9_9.
Повний текст джерелаАнотація:
AbstractThis chapter is primarily about the rationale and decision-making process of including advanced treatments (immuno-oncology therapy, hepatitis B and C medications), tests (next-generation sequencing, NGS) and medical devices in the benefits package of the National Health Insurance.Because of the high prevalence of hepatic cirrhosis and advancement in treatment, Taiwan aims to expand the coverage of hepatitis B treatment and eradicate hepatitis C by 2025. This chapter documents the history and achievements in the expansion of reimbursed indications. As for NGS, although it is recognized as essential for personalized oncology treatment, it requires regulation support to expand its coverage.The chapter ends with discussion in detail regarding why and how National Health Insurance Administration (NHIA) expanded its coverage for medical devices as well as strategies used to improve price transparency for out-of-pocket medical devices.
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Barbot, Benoît, Marta Kwiatkowska, Alexandru Mereacre, and Nicola Paoletti. "Estimation and Verification of Hybrid Heart Models for Personalised Medical and Wearable Devices." In Computational Methods in Systems Biology, 3–7. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23401-4_1.
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De Giovanni, Elisabetta, Farnaz Forooghifar, Gregoire Surrel, Tomas Teijeiro, Miguel Peon, Amir Aminifar, and David Atienza Alonso. "Intelligent Edge Biomedical Sensors in the Internet of Things (IoT) Era." In Emerging Computing: From Devices to Systems, 407–33. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7487-7_13.
Повний текст джерелаАнотація:
AbstractThe design of reliable wearable systems for real-time and long-term monitoring presents major challenges, although they are poised as the next frontier of innovation in the context of Internet-of-Things (IoT) to provide personalized healthcare. This new generation of biomedical sensors targets to be interconnected in ways that improve our lives and transform the medical industry. Therefore, they offer an excellent opportunity to integrate the next generation of artificial intelligence (AI) based techniques in medical devices. However, several key challenges remain in achieving this potential due to the inherent resource-constrained nature of wearable systems for Big Data medical applications, which need to detect pathologies in real time. Concretely, in this chapter, we discuss the opportunities for edge computing and edge AI in next-generation intelligent biomedical sensors in the IoT era and the key challenges in wearable systems design for pathology detection and health/activity monitoring in the context of IoT technologies. First, we introduce the notion of self-awareness toward the conception of the next-generation intelligent edge biomedical sensors to trade-off machine-learning performance versus system lifetime, according to the application requirements of the medical monitoring systems. Subsequently, we present the implications of personalization and multi-parametric sensing in the context of the system-level architecture of intelligent edge biomedical sensors. Thus, they can adapt to the real world, as living organisms do, to operate efficiently according to the target application requirements and available energy at any moment in time. Then, we discuss the impacts of self-awareness and low-power requirements at the circuit level for sampling through a paradigm shift to react to the input signal itself. Finally, we conclude by highlighting that the techniques discussed in this chapter may be applied jointly to design the next-generation intelligent biomedical sensors and systems in the IoT era.
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Thieringer, Florian M., Philipp Honigmann, and Neha Sharma. "Medical Additive Manufacturing in Surgery: Translating Innovation to the Point of Care." In Future of Business and Finance, 359–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99838-7_20.
Повний текст джерелаАнотація:
AbstractAlongside computed tomography, additive manufacturing (also known as three-dimensional or 3D printing) is a significant MedTech innovation that allows the fabrication of anatomical biomodels, surgical guides, medical/dental devices, and customized implants. Available since the mid-1980s, 3D printing is growing increasingly important in medicine by significantly transforming today’s personalized medicine era. 3D printing of biological tissues will provide a future for many patients, eventually leading to the printing of human organs. Unlike subtractive manufacturing (where the material is removed and 3D objects are formed by cutting, drilling, computer numerical control milling, and machining), the critical driver for the exponential growth of 3D printing in medicine has been the ability to create complex geometric shapes with a high degree of functionality. 3D printing also offers the advantage of developing highly customized solutions for patients that cannot be achieved by any other manufacturing technology.
Тези доповідей конференцій з теми "Personalized medical device"
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Ramirez, David A., Mikayle A. Holm, Andrew Shaffer, and Paul A. Iaizzo. "Computationally Sizing a Left Ventricular Assist Device Graft: A Pre-Procedural Tool to Improve Surgical Outcomes." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9055.
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Abstract Implanting Left ventricular assist devices (LVADs) can be life saving therapies that improve life expectancy for the patients that receive it. The target patient population suffer from end-stage heart failure and are therefore susceptible to morbidities arising from a less than ideal surgical implantation. Importantly, the graft that carries the blood from the LVAD pump to the aorta needs to be sized accordingly so as to not cause any compounding complications. The current typical surgical method, is to perform a visual estimation at the time of implantation. This present study proposes a computational tool that utilizes pre-procedural imaging to better calculate the personalized, ideal, LVAD graft length.
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Ravi, Prashanth, Panos S. Shiakolas, Tre Welch, Tushar Saini, Kristine Guleserian, and Ankit K. Batra. "On the Capabilities of a Multi-Modality 3D Bioprinter for Customized Biomedical Devices." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52204.
Повний текст джерелаАнотація:
Currently, there is a major shift in medical device fabrication research towards layer-by-layer additive manufacturing technologies; mainly owing to the relatively quick transition from a solid model (.STL file) to an actual prototype. The current manuscript introduces a Custom Multi-Modality 3D Bioprinter (CMMB) developed in-house, combining the Fused Filament Fabrication (FFF), Photo Polymerization (PP), Viscous Extrusion (VE), and Inkjet (IJ) printing technologies onto a single additive manufacturing platform. Methodologies to address limitation in the ability to customize construct properties layer-by-layer and to incorporate multiple materials in a single construct have been evaluated using open source 3D printing softwares Slic3r and Repetier-Host. Such customization empowers the user to fabricate constructs with tailorable anisotropic properties by combining different print technologies and materials. To this end, procedures which allow the integration of more than one distinct modality of the CMMB during a single print session were developed and evaluated, and are discussed. The current setup of the CMMB provides the capability to fabricate personalized medical devices using patient data from an MRI or a CT scan. Initial experiments and fabricated constructs demonstrate the potential of the CMMB for research in diverse application areas within biomedical engineering.
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Katheryna, Synytsya, and Greta Keremidchieva. "MEDICAL TERMINOLOGY ASSISTANCE TO MULTINATIONAL PARTNERS THROUGH M-LEARNING." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-054.
Повний текст джерелаАнотація:
Knowledge of medical-related terminology and communication skills are essential for multinational partners participating in a wide variety of missions - combat, stabilization, humanitarian support and natural disaster relief. In case of injures and sickness they need to know basic medical terminology in English to evaluate the situation, arrange for MEDEVAC or coordinate health services. Although the First aid and MEDEVAC topics are included into many language training programs, participants are unable to use health-related vocabulary in challenging situations due to the lack of language practice and limited training time. The purpose of the study was to identify specific needs of the multinational partners in medical terminology, explore a range of technology-enhanced language learning strategies for vocabulary extension and refreshing, and suggest a framework for medical terminology assistance based on mobile learning. The study started with needs analysis to reveal specific language gaps and challenges in use of common medical terminology that may be addressed by individual mobile learning. It was intended to identify typical communication situations and vocabulary that should be addressed. Native and non-native English speakers from 14 NATO and partner countries (officers and civilians) who had participated in stability operations and other missions around the world were interviewed and answered questionnaire. Additionally, 5 instructors who teach medical and health-related English to future mission participants were interviewed. As a result, three main areas of vocabulary were identified: parts of body, injuries and other health issues (feelings, symptoms), and medical assets/devices used for first aid and healthcare prescriptions. Most typical communication situations were related to car accidents, MEDEVAC calls, taking a person to the hospital, and writing a report about the accident. To identify the best way of exploiting mobile learning for language assistance to the multinational partners we focused on clarifying differences between e-learning and m-learning and identifying specific features of m-learning that may be beneficial and even unique in supporting terminology acquisition for the multinational audience. Early research in m-learning emphasized limitations of the mobile devices, such as size of the display, reduced input, small memory, abridged or specific OS version, and lack of standards, which positioned m-learning as a specific case of e-learning. However, rapid evolution of mobile technologies, their recent features, including efficient and reliable tactile display, automated adjustment of the resolution and the like, put m-learning on an equal footing with e-learning. Moreover, as distribution of mobile devices significantly exceeds the number of personal computers, and “digital native” generation uses these devices extensively not only for communication but also for accessing information on the web, mobile access to e-learning content may increase several times in the near future. M-learning is perceived to be more flexible, more personalized, more interactive, and more engaging. Due to smaller portions of content and shorter learning session times, m-learning becomes a natural activity during transfer or waiting periods. Moreover, continuous use of the personal mobile device appeals to personalization of learning content through contextual and learning history relevancy. Integrating learning, communication, information exchange and assistance, mobile device became a natural enhancer/extender of the individuals’ capabilities. Extensive study of the literature on vocabulary learning strategies and their computer-based implementation suggested a range of learning activities useful for vocabulary acquisition. However, not all of them promise to be efficient in this specific case, as they do not address individual difficulties and initial vocabulary, short intervals of time that may be devoted to learning, limited attention to language learning due to other priorities, lack of translation to mother language. Moreover, most of the widely used vocabulary extension activities are reading-based, whereas video and audio samples are not properly tagged for share and reuse in vocabulary refreshing. Game-based and context-driven vocabulary acquisition strategies raise learning motivation but their efficiency comparing to memorization-based approach has not been measured. In the final part of the study, requirements to the mobile learning environment for medical terminology support are formulated and examples of language learning activities for mobile devices are described.
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Zheng, Jiewen, Yuhong Shen, Zhengbo Zhang, Taihu Wu, Guang Zhang, and Hengzhi Lu. "Emerging Wearable Medical Devices towards Personalized Healthcare." In 8th International Conference on Body Area Networks. ACM, 2013. http://dx.doi.org/10.4108/icst.bodynets.2013.253725.
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McDaniel, Lauralyn. "3D Printing in Medicine: Challenges Beyond Technology." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3492.
Повний текст джерелаАнотація:
Dramatic news headlines imply that the use of additive manufacturing/3D printing in medicine is a brand new way to save and improve lives. The truth is, it’s not so new. Twenty years ago anatomical models were beginning to be used for planning complicated surgeries. In 2000, hearing aid cases were being 3D-printed and within a few years became industry standard. Medical applications have been a leader in taking 3D printing technology far beyond a product development tool. The combination of using medical imaging data to create patient-matched devices and the ability to manufacture structures difficult to produce with traditional technologies is compelling to an industry always looking for ways to innovate. Surgical uses of 3D printing-centric therapies have a long history beginning with anatomical modeling for bony reconstructive surgery planning[8]. By practicing on a tactile model before surgery surgeons were more prepared and patients received better care. Patient matched implants were a natural extension of this work, leading to truly personalized implants that fit one unique individual[10]. Virtual planning of surgery and guidance using 3D printed, personalized instruments have been applied to many areas of surgery including total joint replacement and craniomaxillofacial reconstruction with great success[9,11]. Further study of the use of models for planning heart and solid organ surgery has lead to increased use in these areas[14]. Finally, hospital-based 3D printing is now of great interest and many institutions are pursuing adding this specialty within individual radiology departments[12,13]. Despite these successful areas of application, widespread use has been fairly slow. Working toward increasing the use of 3D printing in medicine, industry professionals, clinicians, technology developers, and researchers[1] are working together to first identify the challenges and then develop tools and resources to address these challenges.
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Lee, Byung Mun. "Personalized Service Model for Sharing Medical Devices in IoT Health-Platform." In Information Technology and Computer Science 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.99.44.
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Feng, Yu, Xiaole Chen, and Mingshi Yang. "An In Silico Investigation of a Lobe-Specific Targeted Pulmonary Drug Delivery Method." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6928.
Повний текст джерелаАнотація:
Nowadays, “personalized medicine” is starting to replace the current “one size fits all” approach. The goal is to have the right drug with the right dose for the right patient at the right time and location. Indeed, conventional pulmonary drug delivery devices still have poor efficiencies (<25%) for delivering drugs to the lung tumor sites. Major portions of the aggressive medicine deposit on healthy tissue, which causes severe side effects and induces extra health care expenses. Therefore, a new targeted pulmonary drug delivery method is proposed and evaluated using the Computational Fluid-Particle Dynamics (CFPD) method to achieve the lobe-specific delivery. By controlling the release position and velocity of the drug particles at the mouth inlet, drug deposition efficiency (DE) in a designated lobe can be increased up to 90%. Intersubject variability has also been investigated using the noninvasive in silico tool. Results indicate that the glottis constriction ratio is a key factor to influence the effectiveness of the purposed targeted drug delivery method. Although lobe-specific pulmonary drug delivery can be realized, the actuation flow rate must be lower than 2 L/min, and the glottis constriction ratio has a significant impact on the effectiveness of the targeting method. Also, a design idea using e-cigarette as the prototype is proposed as the next-generation inhaler to accommodate the operational flexibility restrictions.
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Biswas, Pradipta, Sakura Sikander, Pankaj Kulkarni, and Sang-Eun Song. "A Method and Mechanism for Harvesting Intact Autograft for Osteochondral Transplantation." In 2019 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dmd2019-3260.
Повний текст джерелаАнотація:
Cartilage plays an important role in reducing mechanical stress and assist with smooth limb movement. Osteoarthritis is the degeneration of articular cartilage and bone. This osteochondral region is difficult to heal because of its dissimilar healing capability, so osteochondral transplantation is the most common method to resolve this issue. Post-traumatic osteoarthritis develops after a joint injury and can damage the cartilage and accelerate its wear and tear. Mosaicplasty is the most widely used method involving transplantation of small cylindrical bone cartilage plugs to fill up the affected region. The success of harvesting a larger and complex shaped graft to replace the damaged osteochondral area lies in effective extraction of the cartilage-bone graft from the donor site. Currently, no method exists to perform this procedure for autologous transplantation due to the complexity involved to extract graft without damaging the donor site. In this paper, we propose a novel graft removal mechanism to harvest a personalized autologous graft of virtually any shape and size. Our method involves drilling a profile similar to the effected region on the donor site and slicing off the desired cartilage-bone graft from its root to harvest it. We developed a new graft removal mechanism capable of inserting a flexible saw parallel to the transverse plane and slice the graft parallel to the coronal plane to extract a donor graft for autografting procedures.
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Woiceshyn, Leo, Yuchi Wang, Goldie Nejat, and Beno Benhabib. "A Socially Assistive Robot to Help With Getting Dressed." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3467.
Повний текст джерелаАнотація:
Getting dressed is a universally performed daily activity, and has a substantial impact on a person’s well-being. Choosing appropriate outfits to wear is important, as clothes protect a person from elements in the environment, and act as a barrier against harsh surfaces [1]. Studies have shown strong correlation between clothing choices and perceptions of sociability, emotional stability, and impression formation (e.g., [2]). This activity, however, can be difficult for some individuals, as they may lack the required reasoning and judgement required [3]. They include children with intellectual and learning disabilities [4] (e.g., Down syndrome [5], dyspraxia [6], autism spectrum disorder [7]), and older adults suffering from dementia including Alzheimer’s disease [8,9], or HIV-associated neurocognitive disorders [10]. In this paper, we present the development of a novel autonomous robotic clothing recommendation system to provide appropriate clothing options, which are personalized to a user’s wardrobe. This research expands on our previous work on socially assistive robots providing assistance with other daily activities, including meal eating [11] and playing Bingo games [12]. Currently, a few smartphone applications exist for providing outfit choices (e.g., [13,14]); however, unlike our proposed system, they are fashion-focused and not able to adapt online to a user’s preferences. Furthermore, by utilizing a socially assistive robot, we provide a more engaging interaction. We utilize the small Nao social robot, Leia, to guide and interact with a user in order to obtain information regarding his/her preferences, the activity for which the clothing will be worn, as well as the environment in which the activity will take place in order to make outfit recommendations, Fig. 1.
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Sarker, Sunandita, Yiannis S. Chatzizisis, Srivatsan Kidambi, and Benjamin S. Terry. "Design and Development of a Novel Drug Delivery Catheter for Atherosclerosis." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6869.
Повний текст джерелаАнотація:
Atherosclerosis is a chronic progressive cardiovascular disease that results from plaque formation in the arteries. It is one of the leading causes of death and loss of healthy life in modern world. Atherosclerosis lesions consist of sub-endothelial accumulations of cholesterol and inflammatory cells [1]. However, not all lesions progress to the final stage to cause catastrophic ischemic cardiovascular events [2]. Early identification and treatment of high-risk plaques before they rupture, and precipitate adverse events constitutes a major challenge in cardiology today. Numerous investigations have confirmed that atherosclerosis is an inflammatory disease [3] [4] [5]. This confirmation has opened the treatment of this disease to many novel anti-inflammatory therapeutics. The use of nanoparticle-nanomedicines has gained popularity over recent years. Initially approved as anticancer treatment therapeutics [6], nanomedicine also holds promise for anti-inflammatory treatment, personalized medicine, target-specific treatment, and imaging of atherosclerotic disease [7]. The primary aim of this collaborative work is to develop and validate a novel strategy for catheter-directed local treatment of high-risk plaque using anti-inflammatory nanoparticles. Preselected drugs with the highest anti-inflammatory efficacy will be incorporated into a novel liposome nanocarrier, and delivered in-vivo through a specially designed catheter to high-risk atherosclerotic plaques. The catheter has specially designed perfusion pores that inject drug into the blood stream in such a controlled manner that the streamlines carry the nanoparticles to the stenotic arterial wall. Once the particles make it to the arterial wall, they can be absorbed into the inflamed tissue. In this paper, we discuss the design and development of an atraumatic drug delivery catheter for the administration of lipid nanoparticles.