Relevant bibliographies by topics / Precision health

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Precision health'

Author: Grafiati
Published: 22 March 2025

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Journal articles on the topic "Precision health"

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Olstad, Dana Lee, and Lynn McIntyre. "Reconceptualising precision public health." BMJ Open 9, no. 9 (September 2019): e030279. http://dx.doi.org/10.1136/bmjopen-2019-030279.

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As currently conceived, precision public health is at risk of becoming precision medicine at a population level. This paper outlines a framework for precision public health that, in contrast to its current operationalisation, is consistent with public health principles because it integrates factors at all levels, while illuminating social position as a fundamental determinant of health and health inequities. We review conceptual foundations of public health, outline a proposed framework for precision public health and describe its operationalisation within research and practice. Social position shapes individuals’ unequal experiences of the social determinants of health. Thus, in our formulation, precision public health investigates how multiple dimensions of social position interact to confer health risk differently for precisely defined population subgroups according to the social contexts in which they are embedded, while considering relevant biological and behavioural factors. It leverages this information to uncover the precise and intersecting social structures that pattern health outcomes, and to identify actionable interventions within the social contexts of affected groups. We contend that studies informed by this framework offer greater potential to improve health than current conceptualisations of precision public health that do not address root causes. Moreover, expanding beyond master categories of social position and operationalising these categories in more precise ways across time and place can enrich public health research through greater attention to the heterogeneity of social positions, their causes and health effects, leading to the identification of points of intervention that are specific enough to be useful in reducing health inequities. Failure to attend to this level of particularity may mask the true nature of health risk, the causal mechanisms at play and appropriate interventions. Conceptualised thus, precision public health is a research endeavour with much to offer by way of understanding and intervening on the causes of poor health and health inequities.As currently conceived, precision public health is at risk of becoming precision medicine at a population level. This paper outlines a framework for precision public health that, in contrast to its current operationalization, is consistent with public health principles because it integrates factors at all levels, while illuminating social position as a fundamental determinant of health and health inequities. We review conceptual foundations of public health, outline a proposed framework for precision public health and describe its operationalization within research and practice. Social position shapes individuals’ unequal experiences of the social determinants of health. Thus, in our formulation, precision public health investigates how multiple dimensions of social position interact to confer health risk differently for precisely defined population subgroups according to the social contexts in which they are embedded, while considering relevant biological and behavioural factors. It leverages this information to uncover the precise and intersecting social structures that pattern health outcomes, and to identify actionable interventions within the social contexts of affected groups. We contend that studies informed by this framework offer greater potential to improve health than current conceptualizations of precision public health that do not address root causes. Moreover, expanding beyond master categories of social position and operationalizing these categories in more precise ways across time and place can enrich public health research through greater attention to the heterogeneity of social positions, their causes and health effects, leading to identification of points of intervention that are specific enough to be useful in reducing health inequities. Failure to attend to this level of particularity may mask the true nature of health risk, the causal mechanisms at play and appropriate interventions. Conceptualized thus, precision public health is a research endeavour with much to offer by way of understanding and intervening on the causes of poor health and health inequities.
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Gambhir, Sanjiv Sam, T. Jessie Ge, Ophir Vermesh, and Ryan Spitler. "Toward achieving precision health." Science Translational Medicine 10, no. 430 (February 28, 2018): eaao3612. http://dx.doi.org/10.1126/scitranslmed.aao3612.

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ten Have, Henk, and Bert Gordijn. "Precision in health care." Medicine, Health Care and Philosophy 21, no. 4 (October 9, 2018): 441–42. http://dx.doi.org/10.1007/s11019-018-9870-x.

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Ielapi, Nicola, Michele Andreucci, Noemi Licastro, Teresa Faga, Raffaele Grande, Gianluca Buffone, Sabrina Mellace, Paolo Sapienza, and Raffaele Serra. "Precision Medicine and Precision Nursing: The Era of Biomarkers and Precision Health." International Journal of General Medicine Volume 13 (December 2020): 1705–11. http://dx.doi.org/10.2147/ijgm.s285262.

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Khoury, Muin J., Michael F. Iademarco, and William T. Riley. "Precision Public Health for the Era of Precision Medicine." American Journal of Preventive Medicine 50, no. 3 (March 2016): 398–401. http://dx.doi.org/10.1016/j.amepre.2015.08.031.

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Branca, Malorye Allison. "TOP PRECISION MEDICINE HEALTH SYSTEMS." Clinical OMICs 8, no. 6 (November 1, 2021): 32–36. http://dx.doi.org/10.1089/clinomi.08.06.21.

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Dickson, Victoria Vaughan, and Gail D'Eramo Melkus. "Precision Health in Cardiovascular Conditions." Journal of Cardiovascular Nursing 37, no. 1 (January 2022): 56–57. http://dx.doi.org/10.1097/jcn.0000000000000879.

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CHEN, Shu-Ching. "Precision Health in Cancer Care." Journal of Nursing Research 30, no. 2 (April 2022): e194. http://dx.doi.org/10.1097/jnr.0000000000000486.

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Kellogg, Ryan A., Jessilyn Dunn, and Michael P. Snyder. "Personal Omics for Precision Health." Circulation Research 122, no. 9 (April 27, 2018): 1169–71. http://dx.doi.org/10.1161/circresaha.117.310909.

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Reich, Brian J., and Murali Haran. "Precision maps for public health." Nature 555, no. 7694 (February 28, 2018): 32–33. http://dx.doi.org/10.1038/d41586-018-02096-w.

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Dissertations / Theses on the topic "Precision health"

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Sloan-Heggen, Christina Marie. "Precision health and deafness–optimizing genetic diagnosis." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6287.

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Deafness is the most common sensory deficit in humans. In the United States 1-2 in a thousand babies is born with significant deafness, well over half of which is hereditary. Providing a patient and their family with a genetic diagnosis is the ultimate form of precision health and medicine; it can provide education, impact medical testing and treatment, provide peace of mind, and someday will be the key to providing gene specific therapies. Historically, providing this diagnosis was difficult, expensive, and time consuming due to the extreme clinical and genetic heterogeneity of non-syndromic hearing loss (NSHL). Targeted genomic enrichment and massively parallel sequencing (TGE+MPS) have revolutionized the field of precision health and medicine, allowing for comprehensive genetic diagnosis of many complicated conditions, including NSHL. To take advantage of this advance in technology, the OtoSCOPE® platform was created, targeting all known deafness-causing genes and creating the first comprehensive genetic test for this condition. With the implementation of OtoSCOPE® we aspire to accomplish two aims: providing comprehensive genetic diagnosis for patients all over the world and characterizing the full spectrum of hereditary hearing loss. The goal of my thesis work has been to use OtoSCOPE® to better understand the landscape of NSHL in multiple populations and to use this knowledge to further optimize it to be the most effective and tailored diagnostic tool possible for individuals with deafness. In order to achieve these goals, we investigated a few unique populations. We first evaluated the effectiveness of diagnosis of OtoSCOPE® on two preselected cohorts of 302 Iranian and 9 Cameroonian probands with autosomal recessive NSHL (ARNSHL). We can now better define the frequent causes of NSHL in Iranians with a high degree of inbreeding, and begin to understand the spectrum of deafness in Sub-Saharan Africa that has previously been underutilized. Next we sought to determine the spectrum of hearing loss within a clinical cohort in the United States by evaluating 1119 sequentially accrued probands for whom the OtoSCOPE® panel was ordered as a diagnostic test. This analysis allowed us to determine the overall diagnostic success of OtoSCOPE® (39%), the most common genes responsible for NSHL, the overall breadth of genes that can be identified within a cohort like this (49 genes), and patient characteristics which impact the likelihood of providing a positive diagnosis. This study permitted us to recommend use of OtoSCOPE® or other TGE+MPS diagnostic tools early in the diagnostic process of a patient with NSHL. Finally, we interrogated the contribution of syndromic forms of deafness which may actually manifest as NSHL (NSHL mimics) within two deafness cohorts. We performed a retrospective chart review of 14 families with syndromic deafness seen by the Genetic-Eye-Ear Clinics to determine which methods are the most efficient and effective at providing an accurate diagnosis through the combination of collaborative clinical and molecular genetic diagnostic tools. We also performed a secondary analysis of 2384 sequentially accrued probands clinically evaluated with OtoSCOPE®, specifically evaluating the impact of panel versioning and inclusion of additional NSHL mimics. We recommend use of OtoSCOPE® as a diagnostic tool to most patients with apparent NSHL, and utilize an automatic positive feedback loop to ensure the most comprehensive and accurate diagnosis possible. All of these studies have lead to the better understanding of the genes and variants that cause NSHL and its mimics, providing a more accurate genetic diagnosis, which is prerequisite to a future of targeted genetic therapies.
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Manrai, Arjun Kumar. "Statistical foundations for precision medicine." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97826.

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Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Physicians must often diagnose their patients using disease archetypes that are based on symptoms as opposed to underlying pathophysiology. The growing concept of "precision medicine" addresses this challenge by recognizing the vast yet fractured state of biomedical data, and calls for a patient-centered view of data in which molecular, clinical, and environmental measurements are stored in large shareable databases. Such efforts have already enabled large-scale knowledge advancement, but they also risk enabling large-scale misuse. In this thesis, I explore several statistical opportunities and challenges central to clinical decision-making and knowledge advancement with these resources. I use the inherited heart disease hypertrophic cardiomyopathy (HCM) to illustrate these concepts. HCM has proven tractable to genomic sequencing, which guides risk stratification for family members and tailors therapy for some patients. However, these benefits carry risks. I show how genomic misclassifications can disproportionately affect African Americans, amplifying healthcare disparities. These findings highlight the value of diverse population sequencing data, which can prevent variant misclassifications by identifying ancestry informative yet clinically uninformative markers. As decision-making for the individual patient follows from knowledge discovery by the community, I introduce a new quantity called the "dataset positive predictive value" (dPPV) to quantify reproducibility when many research teams separately mine a shared dataset, a growing practice that mirrors genomic testing in scale but not synchrony. I address only a few of the many challenges of delivering sound interpretation of genetic variation in the clinic and the challenges of knowledge discovery with shared "big data." These examples nonetheless serve to illustrate the need for grounded statistical approaches to reliably use these powerful new resources.
by Arjun Kumar Manrai.
Ph. D.
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Eliot, Trevor G. "Provider precision labs healthcare analytics and decision support." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10111177.

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The healthcare industry is undergoing a shift due to changes in revenue cycles and therefore delivery models. This shift is causing horizontal integration among providers and a subsequent assumption of risk that behooves them to operate similar to a payer. Analytics, while used predominately by healthcare payers in the past, will now be applicable to providers of care. This opens the door to a niche consulting firm that can provide these services effectively and affordably. Provider Precision Labs is an idea for a company that can render payer-like services on the scale of regional provider groups but at a manageable cost to the owner and operator.

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GALASSO, ILARIA. "PRECISION MEDICINE IN SOCIETY: PROMISES, EXPECTATIONS AND CONCERNS AROUND SOCIAL AND HEALTH EQUITY." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/609264.

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This thesis analyzes precision medicine from an ethical and political perspective, especially in terms of distributive justice: it is aimed at investigating the kinds of benefits that can be produced after precision medicine, and the possible distributions of those benefits, by considering the consequent impact of precision medicine on social and health equity. Precision medicine is considered as a social construct subjected to different interpretations, and it is analyzed by mainly referring to two major case studies: the Precision Medicine Initiative in the US, and the 100,000 Genomes Project in the UK. The analysis focuses on the promises of precision medicine, as expressed in the discourses of the two projects, compared with the expectations and the concerns, as expressed in published comments and in fieldwork interviews with relevant stakeholders. The analysis investigated the scope of precision medicine with respect to public health, the inclusiveness of precision medicine, and the democratizing capacities. It emerged that there are different versions of precision medicine, which encompass different scopes and possibly produce different kinds of benefits. In particular, one version, by also including in its scope the social determinants of health, is argued to have the ‘societal potential’ to inform socio-political interventions to promote social equity and, in return, health equity. It is argued that, although the benefits directly deriving from precision medicine - tailored biomedical treatments and information supposed to empower individuals - risk to totally exclude socio-economically disadvantaged groups, thus preventing any solidarity-based participation, on the other hand, the implementation of the ‘social potential’ would foster the public good and a solidarity-based medicine, to the advantage of everybody. Some challenges for the actualization of this ‘societal potential’ are identified and discussed. The aim of this thesis is to contribute to overcoming those challenges by promoting the dialogue and the alignment between medical innovation and socio-political reforms.
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Arnold, Matthias [Verfasser]. "Linking Precision Medicine to Public Health: An Economic Perspective on Mammography Screening / Matthias Arnold." München : Verlag Dr. Hut, 2018. http://d-nb.info/1168534283/34.

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Mukwaya, Jovia Namugerwa. "An Investigation of Semantic Interoperability with EHR systems for Precision Dosing." Thesis, KTH, Medicinteknik och hälsosystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279143.

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In healthcare, vulnerable populations that are using medications with a narrow therapeutic index and wide interpatient PK/PD (pharmacokinetic/pharmacodynamic modelling) variability are increasing. As such, variable dosage regimens may result in severe therapeutic failures or adverse drug reactions (ADR). Improved monitoring of patient response to medication and personalization of treatment is therefore warranted. Precision dosing aims to individualize drug regimens for each patient based on independent factors obtained from a patient’s clinical records. Personalization of dosing increases the accuracy and efficiency of medication delivery. This can be achieved through utilizing the wide range of Electronic Health Records (EHR) contain the patients’ medical history, diagnoses, laboratory test results, demographics, treatment plans, biomarker data; information that can be exploited to generate a patient-specific treatment regimen. For example, Fast Healthcare Interoperability Resources (FHIR) is an existing healthcare standard that provides a framework on which semantic exchange of meaningful clinical information can be developed such as using an ontology as a decision support tool to achieve precision medicine. The purpose of this thesis is to make an investigation of the feasibility of interoperability in EHR and propose an ontology framework for precision dosing using currently existing health standards. The methodology involved carrying out of semi-structured interviews from professionals in relevant areas of expertise and document analysis of already existent literature, a precision dosing ontology framework is developed. Results show key tenants for an ontology framework and drugs and their covariates. The thesis therefore advances to investigate how data requirements in EHR systems, IT platforms, implementation, and integration of Model Imposed Precision Dosing (MIPD) and recommendations have been evaluated to cater to interoperability. With modern healthcare striving for personalized healthcare, precision medicine would offer an improved therapeutic experience for a patient.
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Picard, Yani. "Improving the precision and accuracy of Monte Carlo simulation in positron emission tomography." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68241.

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PETSIM, a Monte Carlo simulation program of Positron Emission Tomography (PET) systems, was improved in terms of accuracy and efficiency. First, the accuracy, the speed and the ease of use of PETSIM were improved by using tabulated values of the Compton scattering and photoelectric absorption partial interaction attenuation coefficients for all common biological, collimator and detector materials. These were generated from chemical formula, or physical composition, and density of the absorbing medium.
Furthermore, simulations of PET systems waste considerable time generating events which will never be detected. For events in which the original photons are usually directed towards the detectors, the efficiency of the simulations was improved by giving the photons additional chances of being detected. For simulation programs which cascade the simulation process into source, collimation, and detection phases such as PETSIM, the additional detections resulted in an improvement in the simulation precision without requiring larger files of events from the source/phantom phase of the simulation. This also reduced the simulation time since fewer positron annihilations were needed to achieve a given statistical precision. This was shown to be a useful improvement over conventional Monte Carlo simulations of PET systems.
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Krieger, Glenn. "Cephalometric regional superimpositions -- digital vs. analog accuracy and precision : 1. the maxilla." Thesis, NSUWorks, 2014. https://nsuworks.nova.edu/hpd_cdm_stuetd/58.

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Introduction: The purpose of this study was to measure the displacement of defined dental structures, as a result of superimposition of cephalometric images across paired time-points by both digital and analog methods. The magnitudes of such displacements across three methods of superimposition were compared to each other and to a reference method constructed by registering superimposed cephalometric images on tantalum markers implanted in the study participants' maxillae. The defined dental structures were: 1) First molar mesial contact point; 2) First molar apical root bisection; 3) Central incisor root apex; 4) Central incisor crown incisal edge. Methods: Lateral cephalograms of 22 patients containing tantalum implants from the Mathews acquisition group were digitized, traced and superimposed using analog (implant and structural) and digital (Dolphin and QuickCeph) methods. Superimpositions were exported to Adobe Photoshop where they were scaled and displacement of defined dental landmarks measured using a Cartesian coordinate system. A random-effects, generalized linear model with Bonferroni adjustment was used to compare the different methods. Results: The structural method (p < 0.01) showed statistically significant differences versus the implant method and demonstrated the smallest 95% confidence interval range compared to Quick Ceph and Dolphin (0.45mm, 0.75mm, and 0.95mm, respectively). The four structural method landmarks demonstrated statistically significant differences versus the implant method (p
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Buran, Bradley N. (Bradley Nicholas). "Precision and reliability of cochlear nerve response in mice lacking functional synaptic ribbons." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54454.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-99).
Synaptic ribbons are electron-dense structures surrounded by vesicles and anchored to the presynaptic membrane of photoreceptors, retinal bipolar cells and hair cells. Ribbon synapses are characterized by sustained exocytosis that is graded with stimulus intensity and can achieve high release rates. Leading hypotheses implicate the ribbon in maintenance of a large readily releasable pool (RRP) of presynaptic vesicles which enables rapid and precisely-timed exocytosis that supports instantaneous discharge rates of well over 1000 spikes per second. To gain insight into the function of this specialized presynaptic molecular machinery, we characterized the response properties of single auditory nerve (AN) fibers in a mouse with targeted deletion of a presynaptic scaffolding gene, bassoon, in which ribbons are no longer anchored to the active zone. Since each mammalian AN fiber usually receives input from a single inner hair cell active zone to which a single ribbon is typically anchored, single-fiber recordings from bassoon mutants and control mice offer a sensitive functional metric of the contribution of individual ribbons to neural function. Response properties of mutant AN fibers were similar, in many respects, to wild-type. Spike intervals remained irregular, thresholds were unaffected, dynamic range was unchanged, spike synchronization to
(cont.) stimulus phase was unimpaired, the time course of post-onset adaptation and recovery from adaptation were normal, and the ability to sustain discharge throughout a long-duration stimulus was unaffected. These data indicate that the presynaptic mechanisms which regulate precise timing of exocytosis, graded release rates and sustained neurotransmitter release were not impaired by loss of the ribbon. However, reductions were seen in spontaneous and sound-evoked AN fiber discharge rates, coinciding with an increased variance of first spike timing to stimulus onset. Unlike fibers from wild-type mice, mutants failed to show increased peak rate as stimulus onset became more abrupt. The reduction of peak rates and increased first spike variance likely result from degraded reliability of discharge to stimulus onset via a mechanism such as reduced RRP size. Thus, the ribbon appears to support a large RRP that enables the rapid onset rates necessary for the auditory system to resolve stimulus features key for many perceptual tasks.
by Bradley N. Buran.
Ph.D.
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McCaffrey, Kevin. "Cephalometric regional superimpositions -- digital vs. analog accuracy and precision: 2. the mandible." Thesis, NSUWorks, 2014. https://nsuworks.nova.edu/hpd_cdm_stuetd/19.

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Introduction: Lateral cephalometric superimpositions (LCS) are used to measure dental and skeletal changes that occur in the craniofacial complex over time. Orthodontists use LCSs to assess treatment outcomes. The purpose of this study was to conduct an assessment of the measured displacement of defined dental landmarks across digital and analog methods of mandibular regional serial superimposition as compared to an implant-registered superimposition reference. The data used in this study was derived from the Mathew's Acquisition Group implant sample; the first United States longitudinal study of growing children with maxillary and mandibular Björk type metallic implants. Methods: Sixty-six lateral cephalometric radiographs were selected from twenty-two children. Three cephalometric tracings were completed for each subject that were then superimposed pairwise (T1 vs. T2, T2 vs. T3) across four separate methods of superimposition, two analog: Implant, Structural; and two digital: Dolphin, Quick Ceph. Each superimposition was then imported into Adobe Photoshop where the images were scaled and the displacement of defined dental structures was measured. Defined dental structures included: (1) first molar mesial contact point, (2) first molar apical root bisection, (3) central incisor root apex, and (4) central incisor crown incisal edge. A random-effects, generalized linear model was used to contrast dental landmark displacement measurements. Results: There was no difference between the mean displacement of defined dental structures between different methods (p=0.145). There was no difference between the different methods by defined dental structure (p=0.150). Conclusions: Our study demonstrated that there are no statistically significant differences among three methods of mandibular regional superimposition in comparison to an implant-registered (reference) method (analog: Structural, Implant; digital: Dolphin, and Quick Ceph). The historical data set utilized in our study, limited by the small sample size, resulted in a relatively low power (0.15). A low power increases the likelihood of incorrectly failing to reject a null hypothesis that is actually false. which must be considered in our study.
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Books on the topic "Precision health"

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Shaban-Nejad, Arash, and Martin Michalowski, eds. Precision Health and Medicine. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24409-5.

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Zhao, Yichuan, and Ding-Geng Chen, eds. Statistics in Precision Health. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-50690-1.

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Panesar, Arjun. Precision Health and Artificial Intelligence. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9162-7.

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1949-, Burke Ed, ed. Precision heart rate training. Champaign, IL: Human Kinetics, 1998.

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French, Melissa G., ed. Relevance of Health Literacy to Precision Medicine. Washington, D.C.: National Academies Press, 2016. http://dx.doi.org/10.17226/23538.

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Alper, Joe, ed. Relevance of Health Literacy to Precision Medicine. Washington, D.C.: National Academies Press, 2016. http://dx.doi.org/10.17226/23592.

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Maglaveras, Nicos, Ioanna Chouvarda, and Paulo de Carvalho, eds. Precision Medicine Powered by pHealth and Connected Health. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7419-6.

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Burke, Edmund R. Precision heart rate training: For maximum fitness and performance. Champaign, IL: Human Kinetics, 1998.

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Alper, Joe, Andrew Bremer, and Anne Linn, eds. Leveraging Advances in Remote Geospatial Technologies to Inform Precision Environmental Health Decisions. Washington, D.C.: National Academies Press, 2021. http://dx.doi.org/10.17226/26265.

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Adebayo, Derin, and Aramide Okafor. Hydrogen sulfide: Sources, detection, and health hazards. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Book chapters on the topic "Precision health"

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Yu, Feliciano B. "Precision Health." In Clinical Informatics Study Guide, 391–412. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93765-2_26.

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Tobin, John. "Children’s Right to Health." In Precision Manufacturing, 1–22. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3182-3_12-1.

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Bruzelius, Emilie, and James H. Faghmous. "Precision Population Health." In Encyclopedia of Big Data, 757–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_515.

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Bruzelius, Emilie, and James H. Faghmous. "Precision Population Health." In Encyclopedia of Big Data, 1–4. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-32001-4_515-1.

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Flahault, Antoine. "Precision Global Health." In Handbook of Global Health, 1667–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45009-0_70.

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Flahault, Antoine. "Precision Global Health." In Handbook of Global Health, 1–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-05325-3_70-1.

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Polley, Eric, and Yingdong Zhao. "Precision Trials Informatics." In Health Informatics, 215–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18626-5_15.

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Lewis, Duncan, Ria Deakin, and Frances-Louise McGregor. "Workplace Bullying, Disability and Chronic Ill Health." In Precision Manufacturing, 1–29. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5338-2_15-1.

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Tarabella, Angela, Leonello Trivelli, and Andrea Apicella. "Precision Agriculture." In SpringerBriefs in Food, Health, and Nutrition, 79–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-23811-1_6.

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Alvarez, Maria Josefina Ruiz. "Precision Public Health Perspectives." In Precision Medicine in Clinical Practice, 113–27. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5082-7_7.

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Conference papers on the topic "Precision health"

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Jumlesha, Shaik, S. Hrushikesava Raju, S. Adinarayna, U.Sesadri, Nabanita Choudhury, and Vijaya Chandra Jadala. "Precision Health: Maximizing Well-being with IAHN Integration." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS), 1623–30. IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841793.

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Ferraro, Simona, Anilkumar Dave, Dario Cattaneo, Gianvincenzo Zuccotti, Alessia Mauri, Martina Tosi, Elvira Verduci, et al. "Precision Health for Children Takes First Steps in Space." In IAF/IAA Space Life Sciences Symposium, Held at the 75th International Astronautical Congress (IAC 2024), 98–127. Paris, France: International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078355-0013.

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Saranya, V. S., Saikiran Mangali, K. Srinija, Galeiah Medabalimi, Meena Devi, R. Venkata Ramana N, and Ajanthaa Lakkshmanan. "Image-Based Soil Health Analysis Using Deep Learning for Precision Agriculture." In 2024 9th International Conference on Communication and Electronics Systems (ICCES), 1206–14. IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10860230.

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Sharma, Deepak, M. Chitra Devi, Vivek Veeraiah, Manisha Kasar, Deepshikha Aggarwal, and Tripti Sharma. "AI-Driven Precision Agriculture: Techniques for Monitoring Crop Health and Yield Optimization." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS), 1794–800. IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10840749.

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Gaikwad, Shreeraj, Pratik Awatade, Yadnesh Sirdeshmukh, and Chandan Prasad. "Precision Nutrition through Smart Wearable Technology Tailored Solutions for Personalized Health Enhancement." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/inc460750.2024.10649111.

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Khatri, Parul, Archana Sharma, and Payal. "An Optimized Machine Learning-Based Stroke Prediction: Enhancing Precision Medicine and Public Health." In 2024 International Conference on Data Science and Network Security (ICDSNS), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10690944.

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Makhija, Aria. "Leveraging ResNet-50 for Precision Toxicity Classification in Plants: A Vision-Based Approach to Safeguard Public Health." In 2024 E-Health and Bioengineering Conference (EHB), 1–6. IEEE, 2024. https://doi.org/10.1109/ehb64556.2024.10805656.

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Li, Yan, and Yuejian Chen. "RM-YOLOv8-n: A Lightweight and High-precision Network for Rail Surface Defect Detection." In 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing), 1–6. IEEE, 2024. https://doi.org/10.1109/phm-beijing63284.2024.10874487.

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Sunil, Tummapudi, Krishnagandhi Pachiappan, S. Senthilrajan, Y. Nagendar, Renato R. Maaliw, and C. Pavin. "Integration of Convolutional Neural Networks for Real-Time Monitoring of Soil Health in Precision Agriculture." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 1532–38. IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10800813.

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Wang, S. X., and J. Lee. "Magneto-nanosensors for precision medicine and precision health." In 2017 IEEE International Magnetics Conference (INTERMAG). IEEE, 2017. http://dx.doi.org/10.1109/intmag.2017.8007612.

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Reports on the topic "Precision health"

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Bonnett, Michaela, Meaghan Kennedy, Odiraa Okala, and Teri Garstka. Precision Public Health: Empowering Communities with Hyperlocal Data for Targeted Interventions and Improved Outcomes. Orange Sparkle Ball, May 2024. http://dx.doi.org/10.61152/sktq6431.

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Background Precision public health is an effective strategy for reaching the last mile in service delivery, but is frequently hampered by its dependence on unattainable data standards and the non-transferability of the solutions designed. This paper proposes a five-part system involving 1) dynamic data governance, 2) hyperlocal community data, 3) data synthesis and analysis, 4) the design and implementation of precision interventions, and 5) correlation between community data and traditional outcome data. Recent studies of community network data have found the connectedness of communities to be positively correlated with community social and environmental outcomes. Taking advantage of hyperlocal community data is therefore a promising approach to improve community outcomes by characterizing and optimizing for greater connectivity. Methods Collection and governance of hyper-local data that is community-owned can be accomplished through such transferable systems as IRIS, a community-led referral network originally designed for multi-sector social and healthcare organizations. Using this data, communities can identify precise areas of intervention through descriptive and network analysis techniques, and design a responsive, community-led intervention. Immersive Innovation Labs, an applied learning approach, is an effective methodology for the adaptive design of innovative precision interventions. This combination of approaches can empower communities and public health professionals. Conclusion The COVID-19 pandemic revealed the impact of chronic understaffing and skills gaps, particularly at the local level. This paper aims to broaden the definition of precision public health as a response, beyond the traditional application that is dependent on big, non-contextual data sources. Reframing precision public health to a methodology dependent on community-owned, ongoing data collection allows the design of hyper-local solutions while shifting the burden of scalability to data collection technology. While challenges in implementation remain, precision is necessary to make public health and communities more responsive and effective in delivering equitable health outcomes and reaching the last mile.
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Upadhyaya, Shrini K., Abraham Shaviv, Abraham Katzir, Itzhak Shmulevich, and David S. Slaughter. Development of A Real-Time, In-Situ Nitrate Sensor. United States Department of Agriculture, March 2002. http://dx.doi.org/10.32747/2002.7586537.bard.

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Although nitrate fertilizers are critical for enhancing crop production, excess application of nitrate fertilizer can result in ground water contamination leading to the so called "nitrate problem". Health and environmental problems related to this "nitrate problem" have led to serious concerns in many parts of the world including the United States and Israel. These concerns have resulted in legislation limiting the amount of nitrate N in drinking water to 10mg/g. Development of a fast, reliable, nitrate sensor for in-situ application can be extremely useful in dynamic monitoring of environmentally sensitive locations and applying site-specific amounts of nitrate fertilizer in a precision farming system. The long range objective of this study is to develop a fast, reliable, real-time nitrate sensor. The specific objective of this one year feasibility study was to explore the possible use of nitrate sensor based on mid-IR spectroscopy developed at UCD along with the silver halide fiber ATR (i.e. attenuated total internal reflection) sensor developed at TAU to detect nitrate content in solution and soil paste in the presence of interfering compounds. Experiments conducted at Technion and UCD clearly demonstrate the feasibility of detecting nitrate content in solutions as well as soil pastes using mid-IR spectroscopy and an ATR technique. When interfering compounds such as carbonates, bicarbonates, organic matter etc. are present special data analysis technique such as singular value decomposition (SYD) or cross correlation was necessary to detect nitrate concentrations successfully. Experiments conducted in Israel show that silver halide ATR fiber based FEWS, particularly flat FEWS, resulted in low standard error and high coefficient of determination (i.e. R² values) indicating the potential of the flat Fiberoptic Evanescent Wave Spectroscopy (FEWS) for direct determinations of nitrate. Moreover, they found that it was possible to detect nitrate and other anion concentrations using anion exchange membranes and M1R spectroscopy. The combination of the ion-exchange membranes with fiberoptices offers one more option to direct determination of nitrate in environmental systems.
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Scheffler, Bettina, Alexander Bremer, and Christian Kopkow. Evidence-based guideline recommendations for physiotherapy in Parkinson's disease: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0042.

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Review question / Objective: The aim of the systematic review is to identify and analyse physiotherapeutic guideline recommendations for people with idiopathic Parkinson's syndrome (IPS). In particular, the quality with which the guidelines were developed and the extent to which the internationally existing recommendations for the physiotherapeutic field of action are consistent with regard to their level as well as the precision of the recommendation are considered. Eligibility criteria: Restrictions will be applied with regard to language (English, German) and publication Date (prior 5 years).The following documents will be excluded:- Guidelines without recommendations of physiotherapeutic interventions- Guidelines recommending healthy lifestyles or including physical activity in general - Guidelines recommending physiotherapy in general - Recommendations on pharmacological, surgical, complementary interventions or non-invasive brain stimulation.
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Hopmann, Christian, Christoph Zimmermann, Daniel C. Fritsche, Kirsten Bobzin, Hendrik Heinemann, Marvin Erck, and Nicole Lohrey. Design of an injection mold with local placement of heating coatings for warpage compensation. Universidad de los Andes, December 2024. https://doi.org/10.51573/andes.pps39.gs.im.1.

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The influence of the thermal injection mold design crucially affects the geometric precision of injection molded parts. However, the adjustability of the heat flux distribution established with the conventionally used cooling channels is limited and cannot cover the vari able cooling demand. The proposed approach of using heating coatings on the cavity surface to manipulate the part’s cooling rate shows that it may be advantageous, due to the close and localized application to the part. A simulative optimization routine determines the necessary position and surface power of the heating coating. The objective of this methodology is to homogenize the surface temperature, inner cooling rate, and freeze time inside the part. This work applies the simulative design method for the optimized placement and heating power on a mold for a three-dimensional part. As the temperature field of the heating coating depends on the contacting, the electro-thermal simulation is analyzed and confirmed as sufficient to establish the optimal heat flux distribution. A process simulation study shows the dimension with the most critical warpage is decreased by 90%.
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Zhang, Yu, Chaoliang Sun, Hengxi Xu, Weiyang Shi, Luqi Cheng, Alain Dagher, Yuanchao Zhang, and Tianzi Jiang. Connectivity-Based Subtyping of De Novo Parkinson Disease: Biomarkers, Medication Effects and Longitudinal Progression. Progress in Neurobiology, April 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.04.

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Parkinson's disease (PD) is characterized by divergent clinical symptoms and prognosis, suggesting the presence of distinct subtypes. Identifying these subtypes is crucial for understanding the underlying pathophysiology, predicting disease progression, and developing personalized treatments. In this study, we propose a connectivity-based subtyping approach, which measures each patient's deviation from the reference structural covariance networks established in healthy controls. Using data from the Parkinson's Progression Markers Initiative, we identified two distinct subtypes of de novo PD patients: 248 patients with typical cortical-striato-thalamic dysfunctions and 41 patients showing weakened dorsal raphe nucleus (DRN)-to-cortical/striatal projections. The proposed subtyping approach demonstrated high stability in terms of random sampling of healthy or diseased population and longitudinal prediction at follow-up visits, outperforming the traditional motor phenotypes. Compared to the typical PD, patients with the DRN-predominant subtype were characterized by less server motor symptoms at baseline and distinct imaging biomarkers, including larger striatal volumes, higher concentration of cerebrospinal fluid amyloid-β and amyloid-β/t(p)-tau ratio. Subtype-specific associations and drug effects were identified that the DRN subtype exhibited more pronounced medication effects on motor symptoms, potentially regulated by DRN serotonergic modulation through striatal dopaminergic neurons. The DRN serotonergic inputs also regulated non-motor symptoms, the aggregation of CSF biomarkers and the conversion to more severe disease states. Our findings suggest that the DRN-predominant subtype represents a unique clinical and biological phenotype of PD characterized by an enhanced response to anti-parkinsonian treatment, more favorable prognosis and slower progression of dopamine depletion. This study may contribute to clinical practice of precision medicine, early invention and individualized treatments in PD and other neurodegenerative diseases.
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Health hazard evaluation report: HETA-84-415-1688, Precision Castparts Corporation, Portland, Oregon. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, May 1986. http://dx.doi.org/10.26616/nioshheta844151688.

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Health hazard evaluation report: HETA-86-004-1740, Industrial Precision, Inc., Westfield, Massachusetts. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, October 1986. http://dx.doi.org/10.26616/nioshheta860041740.

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Health hazard evaluation report: HETA-98-0131-2704, U.S. Precision Lens Incorporated, Cincinnati, Ohio. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, August 1998. http://dx.doi.org/10.26616/nioshheta9801312704.

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Health hazard evaluation report: HETA-99-0085-2736, U.S. Precision Lens, Incorporated, Cincinnati, Ohio. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, April 1999. http://dx.doi.org/10.26616/nioshheta9900852736.

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