Готові списки джерел за темами / Remote Control for Personalized Medicine

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Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Remote Control for Personalized Medicine"

1

Ivanova, Liliya G., Raisa Y. Tatarintseva, and Dmitry V. Migachev. "Mobile medicine (m-health) a potential reserve of the health care system in crisis situations as exemplified by the coronavirus epidemic COVID-19." Glavvrač (Chief Medical Officer), no. 8 (June 21, 2021): 58–69. http://dx.doi.org/10.33920/med-03-2108-05.

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The article discusses new opportunities to improve the quality of medical care, including for older citizens, when organizing a system of remote dynamic monitoring using methods of preventive, predictive and personalized medicine, including during the epidemic and quarantine events. Objective: to study the benefits of using mobile medicine technologies (m-health) during the fight against coronavirus infection COVID-19. The research method is the analysis and meta-analysis of publications on this topic. The results of the study show the importance of using mobile medicine technologies (m-health) in the structure of medical care for patients at risk and the particular relevance of using these technologies in the development of organizational measures to prevent and control the epidemic, caused, inter alia, by unknown infectious agents.
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2

Kamath, Sowmya, Karthik Kappaganthu, Stefanie Painter, and Anmol Madan. "Improving Outcomes Through Personalized Recommendations in a Remote Diabetes Monitoring Program: Observational Study." JMIR Formative Research 6, no. 3 (March 21, 2022): e33329. http://dx.doi.org/10.2196/33329.

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Background Diabetes management is complex, and program personalization has been identified to enhance engagement and clinical outcomes in diabetes management programs. However, 50% of individuals living with diabetes are unable to achieve glycemic control, presenting a gap in the delivery of self-management education and behavior change. Machine learning and recommender systems, which have been used within the health care setting, could be a feasible application for diabetes management programs to provide a personalized user experience and improve user engagement and outcomes. Objective This study aims to evaluate machine learning models using member-level engagements to predict improvement in estimated A1c and develop personalized action recommendations within a remote diabetes monitoring program to improve clinical outcomes. Methods A retrospective study of Livongo for Diabetes member engagement data was analyzed within five action categories (interacting with a coach, reading education content, self-monitoring blood glucose level, tracking physical activity, and monitoring nutrition) to build a member-level model to predict if a specific type and level of engagement could lead to improved estimated A1c for members with type 2 diabetes. Engagement and improvement in estimated A1c can be correlated; therefore, the doubly robust learning method was used to model the heterogeneous treatment effect of action engagement on improvements in estimated A1c. Results The treatment effect was successfully computed within the five action categories on estimated A1c reduction for each member. Results show interaction with coaches and self-monitoring blood glucose levels were the actions that resulted in the highest average decrease in estimated A1c (1.7% and 1.4%, respectively) and were the most recommended actions for 54% of the population. However, these were found to not be the optimal interventions for all members; 46% of members were predicted to have better outcomes with one of the other three interventions. Members who engaged with their recommended actions had on average a 0.8% larger reduction in estimated A1c than those who did not engage in recommended actions within the first 3 months of the program. Conclusions Personalized action recommendations using heterogeneous treatment effects to compute the impact of member actions can reduce estimated A1c and be a valuable tool for diabetes management programs in encouraging members toward actions to improve clinical outcomes.
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Zheng, Yuanyuan, Xiaoyu Niu, Qian Wei, Yijing Li, Lifeng Li, and Jie Zhao. "Familial Esophageal Cancer in Taihang Mountain, China: An Era of Personalized Medicine Based on Family and Population Perspective." Cell Transplantation 31 (January 2022): 096368972211291. http://dx.doi.org/10.1177/09636897221129174.

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In the Taihang Mountain areas, known as the “esophageal cancer zone” in China, the incidence of esophageal cancer (ESCA) ranks the first in the country and shows a familial and regional clustering trend. Taihang Mountain areas are located in a mountainous area, with inconvenient transportation, limited living conditions, unbalanced diet, and poor nutrition. Ninety percent of the pathological types of ESCA in Taihang Mountain areas are squamous cell carcinoma, among which the risk factors have not been well understood. These areas are usually remote villages and mountains with low population mobility, large family members, similar environmental factors, and a clear and stable genetic background. Therefore, according to the current situation, second-generation sequencing and multigroup analysis technology are used to analyze the familial ESCA patients; disease-related genetic variation are located; and then disease-related susceptibility genes associated with ESCA are screened and analyzed. Health education, tobacco control, endoscopic screening, and other health management projects for suspected and high-risk patients in areas with a high incidence of ESCA can be carried out for screening and early diagnosis, and the incidence of ESCA in Taihang Mountain areas can be reduced. A comprehensive continuous care pattern based on traditional medical nursing to track, monitor, evaluate, and intervene with patients diagnosed with ESCA to facilitate them with medications guidance, dietary guidance, and timely health problem-solving is established. Furthermore, statistical analysis of epidemiology, gene sequencing, and family genetics information can be performed on patients with ESCA in the Taihang Mountains areas to clarify the relationship between genetic phenotype and genotype during the occurrence of ESCA.
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Fanning, Jason, Amber K. Brooks, Katherine L. Hsieh, Kyle Kershner, Joy Furlipa, Barbara J. Nicklas, and W. Jack Rejeski. "Building on Lessons Learned in a Mobile Intervention to Reduce Pain and Improve Health (MORPH): Protocol for the MORPH-II Trial." JMIR Research Protocols 10, no. 7 (July 19, 2021): e29013. http://dx.doi.org/10.2196/29013.

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Background Engaging in sufficient levels of physical activity, guarding against sustained sitting, and maintaining a healthy body weight represent important lifestyle strategies for managing older adults’ chronic pain. Our first Mobile Health Intervention to Reduce Pain and Improve Health (MORPH) randomized pilot study demonstrated that a partially remote group-mediated diet and daylong activity intervention (ie, a focus on moving often throughout the day) can lead to improved physical function, weight loss, less pain intensity, and fewer minutes of sedentary time. We also identified unique delivery challenges that limited the program’s scalability and potential efficacy. Objective The purpose of the MORPH-II randomized pilot study is to refine the MORPH intervention package based on feedback from MORPH and evaluate the feasibility, acceptability, and preliminary efficacy of this revised package prior to conducting a larger clinical trial. Methods The MORPH-II study is an iteration on MORPH designed to pilot a refined framework, enhance scalability through fully remote delivery, and increase uptake of the daylong movement protocol through revised education content and additional personalized remote coaching. Older, obese, and low-active adults with chronic multisite pain (n=30) will be randomly assigned to receive a 12-week remote group-mediated physical activity and dietary weight loss intervention followed by a 12-week maintenance period or a control condition. Those in the intervention condition will partake in weekly social cognitive theory–based group meetings via teleconference software plus one-on-one support calls on a tapered schedule. They will also engage with a tablet application paired with a wearable activity monitor and smart scale designed to provide ongoing social and behavioral support throughout the week. Those in the control group will receive only the self-monitoring tools. Results Recruitment is ongoing as of January 2021. Conclusions Findings from MORPH-II will help guide other researchers working to intervene on sedentary behavior through frequent movement in older adults with chronic pain. Trial Registration ClinicalTrials.gov NCT04655001; https://clinicaltrials.gov/ct2/show/NCT04655001 International Registered Report Identifier (IRRID) PRR1-10.2196/29013
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5

Clark, Kevin B. "Smart Device-Driven Corticolimbic Plasticity in Cognitive-Emotional Restructuring of Space-Related Neuropsychiatric Disease and Injury." Life 12, no. 2 (February 4, 2022): 236. http://dx.doi.org/10.3390/life12020236.

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Escalating government and commercial efforts to plan and deploy viable manned near-to-deep solar system exploration and habitation over the coming decades now drives next-generation space medicine innovations. The application of cutting-edge precision medicine, such as brain stimulation techniques, provides powerful clinical and field/flight situation methods to selectively control vagal tone and neuroendocrine-modulated corticolimbic plasticity, which is affected by prolonged cosmic radiation exposure, social isolation or crowding, and weightlessness in constricted operational non-terran locales. Earth-based clinical research demonstrates that brain stimulation approaches may be combined with novel psychotherapeutic integrated memory structure rationales for the corrective reconsolidation of arousing or emotional experiences, autobiographical memories, semantic schema, and other cognitive structures to enhance neuropsychiatric patient outcomes. Such smart cotherapies or countermeasures, which exploit natural, pharmaceutical, and minimally invasive neuroprosthesis-driven nervous system activity, may optimize the cognitive-emotional restructuring of astronauts suffering from space-related neuropsychiatric disease and injury, including mood, affect, and anxiety symptoms of any potential severity and pathophysiology. An appreciation of improved neuropsychiatric healthcare through the merging of new or rediscovered smart theragnostic medical technologies, capable of rendering personalized neuroplasticity training and managed psychotherapeutic treatment protocols, will reveal deeper insights into the illness states experienced by astronauts. Future work in this area should emphasize the ethical role of telemedicine and/or digital clinicians to advance the (semi)autonomous, technology-assisted medical prophylaxis, diagnosis, treatment, monitoring, and compliance of astronauts for elevated health, safety, and performance in remote extreme space and extraterrestrial environments.
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Farris, Alton Brad, Cynthia Cohen, Thomas E. Rogers, and Geoffrey H. Smith. "Whole Slide Imaging for Analytical Anatomic Pathology and Telepathology: Practical Applications Today, Promises, and Perils." Archives of Pathology & Laboratory Medicine 141, no. 4 (February 12, 2017): 542–50. http://dx.doi.org/10.5858/arpa.2016-0265-sa.

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Whole slide imaging (WSI) offers a convenient, tractable platform for measuring features of routine and special-stain histology or in immunohistochemistry staining by using digital image analysis (IA). We now routinely use IA for quantitative and qualitative analysis of theranostic markers such as human epidermal growth factor 2 (HER2/neu), estrogen and progesterone receptors, and Ki-67. Quantitative IA requires extensive validation, however, and may not always be the best approach, with pancreatic neuroendocrine tumors being one example in which a semiautomated approach may be preferable for patient care. We find that IA has great utility for objective assessment of gastrointestinal tract dysplasia, microvessel density in hepatocellular carcinoma, hepatic fibrosis and steatosis, renal fibrosis, and general quality analysis/quality control, although the applications of these to daily practice are still in development. Collaborations with bioinformatics specialists have explored novel applications to gliomas, including in silico approaches for mining histologic data and correlating with molecular and radiologic findings. We and many others are using WSI for rapid, remote-access slide reviews (telepathology), though technical factors currently limit its utility for routine, high-volume diagnostics. In our experience, the greatest current practical impact of WSI lies in facilitating long-term storage and retrieval of images while obviating the need to keep slides on site. Once the existing barriers of capital cost, validation, operator training, software design, and storage/back-up concerns are overcome, these technologies appear destined to be a cornerstone of precision medicine and personalized patient care, and to become a routine part of pathology practice.
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Sokolova, Larisa Vladimirovna, and Alla Vladimirovna Molchanova. "Testing as an Effective Method for Assessing the Quality of Students' Training Achievements." Development of education 4, no. 4 (December 24, 2021): 27–33. http://dx.doi.org/10.31483/r-100655.

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Electronic educational resources including testing, which simplify the process of searching and structuring educational information have been used more often in educational organizations recently. They have made learning more accessible and interesting for students of higher and vocational education institutions, especially in the context of a pandemic. The article provides a brief theoretical justification of the advantages of testing students' academic achievements. The emphasis is placed on the importance of testing as a tool for remote control of students' knowledge, the advantages and disadvantages of using tests both in the educational process of higher and secondary vocational education and in order to control the acquired knowledge are revealed. The study was carried out by the authors on the basis of a comprehensive use of theoretical and empirical methods. The leading theoretical methods were: analysis, generalization, concretization, forecasting, modeling. The work used such empirical methods as conversations, pedagogical observation, questionnaires, expert evaluation, testing, analysis of performance, generalization of pedagogical experience, methods of statistical processing of experimental data. The results presented in the article of the study of testing of students of MPSU at the initial (entrance test), current and final stage of measuring the level of educational achievements of students demonstrated an increase in the values of the effectiveness of testing at all stages of its implementation, an increase in the effectiveness of test control at the intermediate and final stages of the study. The results of the study made it possible to formulate promising directions for the development of problems of testing the quality of education of students of higher and professional education organizations: improving the forms and methods of analysis and interpretation of test results based on the invariant application of test models: improving the psychological and pedagogical orientation of the use of the testing algorithm for personalized learning trajectories in the practice of mass education, etc.
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Schwendicke, F. "Tailored Dentistry: From “One Size Fits All” to Precision Dental Medicine?" Operative Dentistry 43, no. 5 (September 1, 2018): 451–59. http://dx.doi.org/10.2341/18-076-l.

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SUMMARY Over the past 30 years and fueled by both a rapidly evolving understanding of dental diseases and technological advances in diagnostics and therapy, dentistry has been changing dramatically. Managing dental caries and carious lesions had, for nearly a century, encompassed only a small number of basic concepts that were applied to virtually all patients and lesions, namely, invasive removal of any carious tissue regardless of its activity or depth and its replacement with restorative materials (amalgams or crowns for most of the past) or tooth removal and prosthetic replacement. Grounded in a deeper understanding of the disease “caries,” its management—aiming to control the causes of the disease, to slow down or alleviate existing disease, and, only as a last resort, to remove its symptoms using a bur or forceps—has become more complex and diverse. In parallel and at nearly unprecedented speed, our patients are changing, as mirrored by ongoing debates as to the demographic and, with it, the social future of most high-income countries. This article describes how these changes will have a profound future impact on how we practice dental medicine in the future. It will deduce, from both demographic and epidemiologic trends, why there is the need to apply not one but rather the whole range of existing evidence-based concepts in an individualized (personalized) manner, hence increasing the effectiveness and efficiency of dental management strategies, and also describe how these strategies should be tailored according not only to our patients (their age and risk profiles) but also to the specific tooth (or site or lesion).
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Viglianisi, Gaia, Gianluca Martino Tartaglia, Simona Santonocito, Mariacristina Amato, Alessandro Polizzi, Marco Mascitti, and Gaetano Isola. "The Emerging Role of Salivary Oxidative Stress Biomarkers as Prognostic Markers of Periodontitis: New Insights for a Personalized Approach in Dentistry." Journal of Personalized Medicine 13, no. 2 (January 17, 2023): 166. http://dx.doi.org/10.3390/jpm13020166.

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Periodontitis is a multifactorial and infective oral disease that leads to the destruction of periodontal tissues and tooth loss. Although the treatment of periodontitis has improved recently, the effective treatment of periodontitis and the periodontitis-affected periodontal tissues is still a challenge. Therefore, exploring new therapeutic strategies for a personalized approach is urgent. For this reason, the aim of this study is to summarize recent advances and the potential of oxidative stress biomarkers in the early diagnosis and personalized therapeutic approaches in periodontitis. Recently, ROS metabolisms (ROMs) have been studied in the physiopathology of periodontitis. Different studies show that ROS plays a crucial role in periodontitis. In this regard, the reactive oxygen metabolites (ROMs) started to be searched for the measures of the oxidizing capacity of the plasma understood as the total content of oxygen free radicals (ROS). The oxidizing capacity of plasma is a significant indicator of the body’s oxidant state as well as homocysteine (Hcy), sulfur amino acid, which has pro-oxidant effects as it favors the production of superoxide anion. More specifically, the thioredoxin (TRX) and peroxiredoxin (PRX) systems control reactive oxygen species (ROS), such as superoxide and hydroxyl species, to transduce redox signals and change the activities of antioxidant enzymes to remove free radicals. Superoxide dismutase (SOD), catalase, and glutathione peroxidase (GPx), among other antioxidant enzymes, change their activity when ROS are produced in order to neutralize free radicals. The TRX system is triggered and transduces redox signals to do this.
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Liu, Yue, and Xia Wang. "Application of Smart Mobile Medical Services in Maternal Health Care Management." Contrast Media & Molecular Imaging 2021 (December 8, 2021): 1–6. http://dx.doi.org/10.1155/2021/6249736.

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In order to standardize the health management of pregnant women, improve the health level of pregnant women, and improve the outcome of pregnancy with the help of the smartphone mobile terminal app, the 100 pregnant women who gave birth in the hospital and participated in the management of the health assistant app were selected as the observation group, and the 100 hospitalized pregnant women who did not participate in the management of the app were selected as the control group. The two groups of pregnant women were compared in their knowledge of health care, compliance of prenatal examination, delivery mode, and follow-up rate. The results showed that the observation group was significantly higher than the control group in the knowledge of health care during pregnancy and perinatal period, the rate of natural childbirth, the compliance rate of prenatal examination, and the follow-up rate. After the system was launched, the number of registered pregnant women reached more than 60% of the total number of pregnant women in the hospital, the number of clicks reached more than 2 million times, the number of clinic settlement accounted for more than 30%, and the interpretation rate of fetal heart rate in outpatient and remote clinics reached more than 20%. The diagnosis and treatment process has been significantly improved, and the implementation effect has reached the expectation. O2O maternal and child service mode has been realized through mobile internet technology. It has been proved that the use of smart mobile terminals in the out-of-hospital health care management of pregnant women not only facilitates medical staff to provide timely personalized medical services for pregnant women but also is convenient for pregnant women to obtain health care knowledge through multiple channels, improve the quality of home health management for pregnant women, and effectively improve the pregnancy outcome.
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Дисертації з теми "Remote Control for Personalized Medicine"

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SILVESTRI, ANTONIA. "Implantable Nanofluidic Membrane and Smart Electronic System for Drug Release Control." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2918000.

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Doubleday, Kevin. "Generation of Individualized Treatment Decision Tree Algorithm with Application to Randomized Control Trials and Electronic Medical Record Data." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613559.

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With new treatments and novel technology available, personalized medicine has become a key topic in the new era of healthcare. Traditional statistical methods for personalized medicine and subgroup identification primarily focus on single treatment or two arm randomized control trials (RCTs). With restricted inclusion and exclusion criteria, data from RCTs may not reflect real world treatment effectiveness. However, electronic medical records (EMR) offers an alternative venue. In this paper, we propose a general framework to identify individualized treatment rule (ITR), which connects the subgroup identification methods and ITR. It is applicable to both RCT and EMR data. Given the large scale of EMR datasets, we develop a recursive partitioning algorithm to solve the problem (ITR-Tree). A variable importance measure is also developed for personalized medicine using random forest. We demonstrate our method through simulations, and apply ITR-Tree to datasets from diabetes studies using both RCT and EMR data. Software package is available at https://github.com/jinjinzhou/ITR.Tree.
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"A Statistical Clinical Decision Support Tool for Determining Thresholds in Remote Monitoring Using Predictive Analytics." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.17932.

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abstract: Statistical process control (SPC) and predictive analytics have been used in industrial manufacturing and design, but up until now have not been applied to threshold data of vital sign monitoring in remote care settings. In this study of 20 elders with COPD and/or CHF, extended months of peak flow monitoring (FEV1) using telemedicine are examined to determine when an earlier or later clinical intervention may have been advised. This study demonstrated that SPC may bring less than a 2.0% increase in clinician workload while providing more robust statistically-derived thresholds than clinician-derived thresholds. Using a random K-fold model, FEV1 output was predictably validated to .80 Generalized R-square, demonstrating the adequate learning of a threshold classifier. Disease severity also impacted the model. Forecasting future FEV1 data points is possible with a complex ARIMA (45, 0, 49), but variation and sources of error require tight control. Validation was above average and encouraging for clinician acceptance. These statistical algorithms provide for the patient's own data to drive reduction in variability and, potentially increase clinician efficiency, improve patient outcome, and cost burden to the health care ecosystem.
Dissertation/Thesis
Ph.D. Engineering 2013
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Книги з теми "Remote Control for Personalized Medicine"

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Quality assurance in healthcare service delivery, nursing, and personalized medicine: Technologies and processes. Hershey, PA: Medical Information Science Reference, 2012.

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The decision tree: Taking control of your health in the new era of personalized medicine. Emmaus, Pa: Rodale, 2010.

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3

Feedback Control for Personalized Medicine. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-03670-4.

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Vargas, Esteban. Feedback Control for Personalized Medicine. Elsevier Science & Technology Books, 2022.

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Vargas, Esteban. Feedback Control for Personalized Medicine. Elsevier Science & Technology, 2022.

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6

Al-Shura, Anika Niambi. Integrative Cardiovascular Chinese Medicine: A Prevention and Personalized Medicine Perspective. Elsevier Science & Technology Books, 2014.

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Al-Shura, Anika Niambi. Integrative Cardiovascular Chinese Medicine: A Prevention and Personalized Medicine Perspective. Elsevier Science & Technology Books, 2017.

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Integrative Cardiovascular Chinese Medicine: A Prevention and Personalized Medicine Perspective. Elsevier Science & Technology Books, 2014.

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9

The Decision Tree: Taking Control of Your Health in the New Era of Personalized Medicine. Rodale Books, 2010.

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10

Modeling Interactions Between Vector-Borne Diseases and Environment Using GIS. Taylor & Francis Group, 2015.

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Частини книг з теми "Remote Control for Personalized Medicine"

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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.

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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.
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Aftab, Ayesha, Ranjha Khan, Uzma Hameed, Tanveer Abbas, and Bashir Ahmad. "Transcriptional Control Leading to Clinical Outcomes in Breast Cancer Cases." In Breast Cancer: From Bench to Personalized Medicine, 281–336. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0197-3_13.

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Lanza, V. "The Modem and the Remote Control of Anaesthesiologic Activity." In Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E., 773–78. Milano: Springer Milan, 1997. http://dx.doi.org/10.1007/978-88-470-2296-6_70.

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Zhu, Taiyu, Kezhi Li, and Pantelis Georgiou. "Personalized Dual-Hormone Control for Type 1 Diabetes Using Deep Reinforcement Learning." In Explainable AI in Healthcare and Medicine, 45–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53352-6_5.

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Paravati, Gianluca, Mattia Donna Bianco, Andrea Sanna, and Fabrizio Lamberti. "A Multi-touch Solution to Build Personalized Interfaces for the Control of Remote Applications." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 10–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35145-7_2.

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Spitz, François. "Control of Vertebrate Hox Clusters by Remote and Global Cis-Acting Regulatory Sequences." In Advances in Experimental Medicine and Biology, 63–78. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6673-5_4.

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Schlingensiepen, Jörn, Florin Nemtanu, Rashid Mehmood, and Lee McCluskey. "Autonomic Transport Management Systems—Enabler for Smart Cities, Personalized Medicine, Participation and Industry Grid/Industry 4.0." In Studies in Systems, Decision and Control, 3–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19150-8_1.

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Mantellos, George. "WOL Ecosystem: Secure Remote Power – State Control of Computer(s) Over the Internet for Telemedicine Purposes and Dementia Patients." In Advances in Experimental Medicine and Biology, 67–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32622-7_6.

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Prainsack, Barbara. "Setting the Stage for Personalized Medicine." In Personalized Medicine. NYU Press, 2017. http://dx.doi.org/10.18574/nyu/9781479814879.003.0001.

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With the help of today’s technological tools medicine has become much better at measuring individual difference. Personalized medicine—especially in its iteration of Precision Medicine—seeks to include ever wider types of information and data. Some people propose the use of remote and wearable sensors to monitor patients as continuously and comprehensively as possible. The hope is that health problems can be predicted in these data doubles before they manifest themselves in the bodies of actual patients, but such personalization also requires various contributions from patients, in the form of data, time, effort, and the willingness to be monitored unobtrusively. How do these developments “empower” patients, if at all?
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Prainsack, Barbara. "Always On." In Personalized Medicine. NYU Press, 2017. http://dx.doi.org/10.18574/nyu/9781479814879.003.0003.

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In contrast to expectations ten years ago—and to most portrayals in films and popular media—current iterations of personalized medicine do not include any plans to sequence everybody’s DNA at birth. Genetic and genomic information play a role in personalized medicine, but they are only one instrument in a much larger orchestra. What visions of personalized medicine do entail, however, is that ever wider ranges of information about people’s bodies and lives will be brought together into personalized “health maps,” and that remote sensors and other ways of unobtrusively monitoring patients will be used much more widely. Also, the dividing line between monitoring for wellness and lifestyle (for example, Fitbit) and monitoring for medical purposes (for example, telecare) is blurring. How do these practices and developments affect concepts of privacy, and what needs to be done to protect the interests of patients and civil society?
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Тези доповідей конференцій з теми "Remote Control for Personalized Medicine"

1

Silva, Margarida M., Teresa Mendonca, and Simao Esteves. "Personalized neuromuscular blockade through control: Clinical and technical evaluation." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650539.

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Daskalaki, Elena, Peter Diem, and Stavroula G. Mougiakakou. "Personalized tuning of a reinforcement learning control algorithm for glucose regulation." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610293.

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3

Hironari Taniguchi, Koichi Suzumori, Takumi Nakahira, Chinami Ito, and Takefumi Kanda. "Development of separable micro reactor system with integrated fluid control devices for personalized medicine." In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406765.

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4

Ali Meerza, Syed Irfan, Affan Affan, Hossein Mirinejad, Michael E. Brier, Jacek M. Zurada, and Tamer Inanc. "Precise Warfarin Management through Personalized Modeling and Control with Limited Clinical Data." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9629945.

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Shi, Z. Y., and T. Dong. "Coupling effect on thermal comfort in a typical cubicle-based office with personalized floor diffuser control." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943722.

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Zhan, Jinliang, and Pei Lu. "The remote supervisory and controlling experiment system of traditional Chinese medicine production based on Fieldbus." In Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.718043.

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7

Barron-Gonzalez, H. G., M. Martinez-Espronceda, S. Led, L. Serrano, Christoph Fischer, and M. Clarke. "New use cases for remote control and configuration of interoperable medical devices." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610618.

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Panseri, Silvia, Monica Sandri, Carla Cunha, Michele Iafisco, Maurilio Marcacci, and Anna Tampieri. "Remote Control of Cell Behaviour Through an External Magnetic Field as Tool for Nanomedicine Applications." In ASME 2013 2nd Global Congress on NanoEngineering for Medicine and Biology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/nemb2013-93169.

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The development of a new way for in vitro three-dimensional (3D) cell culture is critical for medicine to well understand cell/tissue behavior. Despite its importance, it is not easy to achieve 3D cell culture because the superficial seeding of cells on the surface of scaffolds causes tissue necrosis in the central part of scaffolds. To solve this issue, we explored an alternative cell seeding procedures based on magnetized cell guiding. Taking advantage of the novel superparamagnetic nanoparticles (MNPs), obtained by doping hydroxyapatite (HA) with Fe ions in ideal condition aimed at limiting the formation of poorly tolerated magnetic secondary phase (i.e. Fe3 O4), we magnetized cells without affect cell behavior. Moreover applying a low external magnetic field, we were able to remote control cell migration demonstrating that magnetic cells were obtained and move them in a 3D construct. This study showed the great potential of cell remote control by external magnetic field as tool for medicine applications.
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Constantinescu, L., J. Kim, C. Chan, and D. Feng. "Automatic Mobile Device Synchronization and Remote Control System for High-Performance Medical Applications." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352910.

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Tai Hu and Ligang Li. "A new ground control point image-chip automatic matching method for remote sensing image location processing." In 2011 International Symposium on Information Technology in Medicine and Education (ITME 2011). IEEE, 2011. http://dx.doi.org/10.1109/itime.2011.6130872.

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