133 hot topic(s) found with the query "Precision health"
What will it take to make precision health a global reality
(Posted: Jul 22, 2024 10AM)
From the article: "In this special issue, we ask what it means to deliver precision health — that is, tailoring preventive or treatment approaches to groups of people or individual people on the basis of certain characteristics — in different geographical and clinical contexts. Alongside the big questions addressing infrastructure, capacity, policy and access, our ‘Turning points’ articles zoom in on researchers’ personal stories of what precision health means to them, and how they came to dedicate their careers to this cause. "
A new agenda for implementing population genomic screening
(Posted: Jun 28, 2024 10AM)
"Nearly a decade into the proliferation of population genomic screening programs, it is clear that such programs provide benefit in certain contexts. Determining whether these programs provide net positive outcomes across diverse populations, however, will require a significant shift in approach and scale. This shift can be modeled on a precision health research agenda that capitalizes on pragmatic and implementation science methods, learning health system principles, and stakeholder engagement. Acknowledging that research and clinical implementation must coexist will help us realize the promise of population genomic screening."
Sustaining Community Engagement in Genomics Research: A Workshop
(Posted: May 30, 2024 0PM)
From the website: "This hybrid workshop will examine how researchers could more meaningfully engage and sustain interactions with historically underrepresented communities in research to foster their participation in genomics and precision health studies. The overarching goal of the workshop is to help improve the quality of genomics research by understanding where obstacles to sustained community involvement remain. "
Proteome profiling of home-sampled dried blood spots reveals proteins of SARS-CoV-2 infections.
Claudia Fredolini et al. Commun Med (Lond) 2024 4 (1) 55
(Posted: Apr 04, 2024 9AM)
From the abstract: "Our three studies display highly consistent variance of protein levels and share associations of proteins with sex (e.g., MMP3) and age (e.g., GDF-15). Studying seropositive (IgG+) and seronegative (IgG-) donors from the first pandemic wave reveals a network of proteins reflecting immunity, inflammation, coagulation, and stress response. Proteome analysis of volumetric self-sampled DBS facilitates precise analysis of clinically relevant proteins, including those secreted into the circulation or found on blood cells, augmenting previous COVID-19 reports with clinical blood collections. Our population surveys support the usefulness of DBS, underscoring the role of timing the sample collection to complement clinical and precision health monitoring initiatives. "
Emerging Opportunities for Genomics to Improve Population Health: Lessons learned from the National Academies Roundtable on Genomics and Precision Health
CDC Webinar, May 22, 2024
(Posted: Mar 21, 2024 1PM)
From the website: " For nearly two decades, the National Academies of Sciences, Engineering, and Medicine’s Roundtable on Genomics and Precision Health has brought together diverse voices to share in dialogue about emerging topics in genomics and precision health. Through its public workshops and proceedings of those workshops, the roundtable seeks to encourage innovation and actions that foster the wide adoption of and equitable access to the benefits of genomics and precision health. The webinar will shed light on the emerging opportunities and challenges for genomics to improve population health. The webinar participants will also discuss the role of public health at state and federal levels in fulfilling the promise of genomics and precision health for all. Specific topics relevant to public health practice will be explored."
We need to stand together on the shoulders of giants: consolidating effective approaches for translating genomics into practice with implementation science.
Stephanie Best et al. Public Health Genomics 2023 12
(Posted: Jan 22, 2024 8AM)
From the article: "Adopting a genomics learning implementation system approach would provide opportunities to bring together clinical and implementation data from observational studies and clinical trials, providing real-world evidence. These findings could be housed in the Digital Implementation Toolshed (DIT), an online bi-directional platform for resources generated from implementation science activity in genomics. The highly curated DIT (Fig. 1) would augment the Centers for Disease Control and Prevention Genomics and Precision Health Weekly Update. " "
Engaging a national-scale cohort of smart thermometer users in participatory surveillance
YJ Tseng et al, NPJ Digital Medicine, September 20, 2023
(Posted: Sep 21, 2023 2PM)
From the abstract: "Participatory surveillance systems crowdsource individual reports to rapidly assess population health phenomena. The value of these systems increases when more people join and persistently contribute. We examine the level of and factors associated with engagement in participatory surveillance among a retrospective, national-scale cohort of individuals using smartphone-connected thermometers with a companion app that allows them to report demographic and symptom information. Between January 1, 2020 and October 29, 2022, 1,325,845 participants took 20,617,435 temperature readings, yielding 3,529,377 episodes of consecutive readings. There were 1,735,805 (49.2%) episodes with self-reported symptoms (including reports of no symptoms). "
Brining it all together: wearable data fusion
Y Celik et al, NPJ Digital Medicine, August 17, 2023
(Posted: Aug 17, 2023 11AM)
Contemporary wearables like smartwatches are often equipped with advanced sensors and have associated algorithms to aid researchers monitor physiological outcomes like physical activity levels, sleep patterns or heart rate in free-living environments. But here’s the catch: all that valuable data is often collected separately because the sensors don’t always play nice with each other, and it’s a real challenge to put all the data together. To get the full picture, we may often need to combine different data streams.
Genomics and Precision Public Health Issues Enrichment Event
Oak Ridge Institute for Science Education Enrichment Event, Atlanta, Georgia, September 7-8, 2023
(Posted: Jul 17, 2023 8AM)
In the past decade, genomics, and precision health approaches such as big data science and machine learning have emerged as important tools for public health. Those entering the public health and medical workforces must keep pace with these evolving fields to maximize the benefit to public health. Recognizing this need, ORISE is partnering with the Office of Genomics and Precision Public Health at the Centers for Disease Control and Prevention to offer a two-day in-person enrichment event covering the latest developments in these fields.
Tracking the Contributions of Implementation Science to the Population Health Impact of Genomics and Precision Health: A New Knowledge Base
M Clyne et al, CDC blog post, June 16, 2023
(Posted: Jun 19, 2023 1PM)
Successful implementation of evidence-based genomic and precision health interventions requires an understanding of what works and what doesn’t work within the context of various clinical and public health settings. Research and evaluation that incorporate implementation science tools and methods into the translation of these interventions facilitate this. Here we present a new CDC knowledge base, a collection of these implementation science studies, and a summary of their collective contributions to date.
Cost-Effectiveness Analysis in Public Health Genomics and Precision Health: Recent Findings, Methodologic Issues, and the Path Forward
CDC Public Health Genomics Webinar, October 26, 2023
(Posted: Jun 09, 2023 8AM)
Dr David Veenstra from the University of Washington in Seattle will review the field as a whole and his research projects including evaluation of the cost-effectiveness of population-level genomic screening, pharmacogenomics in diverse populations, decision modeling techniques to assess evidence thresholds, and stakeholder preferences for precision medicine. He will address recent findings, methodologic issues and the path forward.
NIH launches largest precision nutrition research effort of its kind
NIH ALL of Us, May 2023
(Posted: May 17, 2023 11AM)
The National Institutes of Health is now enrolling participants in a landmark initiative to advance nutrition research. Nutrition for Precision Health, powered by the All of Us Research Program (NPH), is working with 14 sites across the United States to engage 10,000 participants from diverse backgrounds and learn more about how our bodies respond differently to food. NPH will use artificial intelligence (AI)-based approaches to analyze information provided by participants in order to develop algorithms that predict responses to dietary patterns. The study’s findings may one day allow healthcare providers to offer more customized nutritional guidance to improve overall health.
Realizing the Potential of Genomics across the Continuum of Precision Health Care: Proceedings of a Workshop (2023)
NASEM, March 30, 2023
(Posted: Mar 30, 2023 10AM)
The National Academies Roundtable on Genomics and Precision Health hosted a public workshop that examined how genomic data are used in health care, outside of the traditional settings for clinical genetics. The workshop identified opportunities for advancement of precision health care delivery. The event also explored how patients, clinicians, and payers assess and act upon the risks and benefits of genomic screening and diagnostic testing. Discussions focused on strategies to ensure that genomic applications are responsibly and equitably adopted to benefit populations as well as individuals over time.
American Life in Realtime: a benchmark registry of health data for equitable precision health.
Ritika R Chaturvedi et al. Nature medicine 2023 2
(Posted: Feb 21, 2023 7AM)
Emerging precision health methods use large-scale person-generated health data from smartphones and wearables to better characterize and, ultimately, improve health and well-being through strategies customized to individual context and need3,4. Applying artificial intelligence and machine learning to person-generated health data allows unprecedented assessment of recursive, networked and latent associations between everyday life and health, including social, structural and environmental exposures, behaviors, biometrics, and health outcomes.
Passive monitoring by smart toilets for precision health.
T Jessie Ge et al. Science translational medicine 2023 2 (681) eabk3489
(Posted: Feb 03, 2023 7AM)
Precision health is an approach to prevent, diagnose, and monitor disease using information gleaned from an individual’s biological information. Passive monitoring in a smart home setting, where appliances and devices are connected and controlled automatically, may provide such biological information. Whereas wearable health sensors must be actively applied and require a certain amount of human intervention, a sensor that performs passively and noninvasively can collect valuable health data in the background of everyday life. Of the possible locations in a smart home, the bathroom, and more specifically the toilet, is particularly well suited for such passive sensors.
Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality
E Stamatakis et al, Nature Medicine, December 8, 2022
(Posted: Dec 09, 2022 6AM)
Here, we examined the association of VILPA with all-cause, cardiovascular disease (CVD) and cancer mortality in 25,241 nonexercisers (mean age 61.8?years, 14,178 women/11,063 men) in the UK Biobank. Over an average follow-up of 6.9?years, during which 852 deaths occurred, VILPA was inversely associated with all three of these outcomes in a near-linear fashion. Compared with participants who engaged in no VILPA, participants who engaged in VILPA at the sample median VILPA frequency of 3?length-standardized bouts per day (lasting 1 or 2?min each) showed a 38%–40% reduction in all-cause and cancer mortality risk and a 48%–49% reduction in CVD mortality risk.
Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
ZI Attoa et al, Nature Medicine, November 14, 2022
(Posted: Nov 15, 2022 7AM)
Although artificial intelligence (AI) algorithms have been shown to be capable of identifying cardiac dysfunction, defined as ejection fraction (EF) = 40%, from 12-lead electrocardiograms (ECGs), identification of cardiac dysfunction using the single-lead ECG of a smartwatch has yet to be tested. We digitally enrolled 2,454 unique patients from 46 US states and 11 countries, who sent 125,610 ECGs to the data platform between August 2021 and February 2022; 421 participants had at least one watch-classified sinus rhythm ECG within 30?d of an echocardiogram, of whom 16 (3.8%) had an EF?=?40%. The AI algorithm detected patients with low EF with an area under the curve of 0.885.
Evaluation of physical health status beyond daily step count using a wearable activity sensor
Z Xu et al, NPJ Digital Medicine, November 9, 2022
(Posted: Nov 09, 2022 7AM)
Multimodal machine learning in precision health: A scoping review
A Kline et al, NPJ Digital Medicine, November 7, 2022
(Posted: Nov 08, 2022 7AM)
Machine learning is frequently being leveraged to tackle problems in the health sector including utilization for clinical decision-support. Its use has historically been focused on single modal data. Attempts to improve prediction and mimic the multimodal nature of clinical expert decision-making has been met in the biomedical field of machine learning by fusing disparate data. This review was conducted to summarize the current studies in this field and identify topics ripe for future research.
Unsettled Liability Issues for "Prediagnostic" Wearables and Health-Related Products.
Simon David A et al. JAMA 2022 9
(Posted: Sep 24, 2022 7AM)
Prediagnostic products and other health-related applications are bringing exciting technologies directly to consumers and mesh well with the goal of meeting patients “where they live,” sometimes literally. But these products also present a context that is rife with legal uncertainty
Building Capacity for Implementation Science in Precision Health and Society: Development of a Course for Professional and Graduate Students in Pharmacy
MC Roberts, J Personalized Medicine, September 14, 2022
(Posted: Sep 14, 2022 3AM)
Training in the field of implementation science is critical for future pharmacists and pharmaceutical scientists to successfully implement precision health interventions in pharmacy practice. We developed an elective course for second- and third-year students at the UNC Eshelman School of Pharmacy to develop foundational knowledge in implementation science with a focus on precision health implementation. The eight-week course used a flipped classroom format featuring lecture videos, suggested readings, quizzes, guest lectures from experts, case studies, and a group project.
Wearable accelerometer-derived physical activity and incident disease.
Khurshid Shaan et al. NPJ digital medicine 2022 9 (1) 131
(Posted: Sep 04, 2022 8AM)
A wearable ultrasound patch.
O'Leary Karen et al. Nature medicine 2022 8
(Posted: Aug 13, 2022 6PM)
Wearable technologies are advancing rapidly and can provide a multitude of skin-based physical and chemical readouts. However, harnessing wearable technologies for internal imaging applications such as ultrasound – which provides crucial information on organ function and disease – has been challenging.
Now scientists have engineered a stick-on wearable ultrasound device for continuous monitoring.
Bioadhesive ultrasound for long-term continuous imaging of diverse organs.
Wang Chonghe et al. Science (New York, N.Y.) 2022 7 (6605) 517-523
(Posted: Aug 01, 2022 11AM)
Ultrasound is widely used for the noninvasive imaging of tissues and organs, but this method requires close contact between the transducer and the target area. This can make it difficult to acquire images over a long period of time, especially if the patient needs to be mobile. A new study describes a wearable ultrasound imaging device. A rigid piezoelectric probe array is bonded to the skin with an acoustically transparent hydrogel elastomer. In vivo testing showed that the device could be comfortably worn for 48 hours, and hooking the array up to a commercially available ultrasound platform allowed for continuous ultrasound images of the carotid artery, lung, and abdomen.
Precision Health Innovations in the Pandemic Era
D Rasooly et al, CDC Blog Post, July 8, 2022
(Posted: Jul 08, 2022 0PM)
Two recent articles, one in Nature Medicine and another in Nature Biotechnology, highlight areas of health innovation that have been accelerated by the COVID-19 pandemic. This blog post focuses on two precision health applications of technology—(1) genomics and (2) wearable devices and smartphone apps—that are likely to have a lasting impact beyond the pandemic. Increased interest in these applications is reflected in the scientific literature captured by the COVID-19 GPH database
Shaping the future of cardiovascular medicine in the new era of wearable devices.
Gehr Sinje et al. Nature reviews. Cardiology 2022 6
(Posted: Jun 11, 2022 9AM)
Wearable devices are widely used and have a high level of societal acceptance, opening unimagined and unexploited possibilities in cardiovascular medicine. In this Clinical Outlook, we highlight the disruptive potential of wearables for cardiovascular disease prevention, diagnosis and management, and suggest strategies for quickly and safely translating these lifestyle products into medical devices.
COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response
W Yu et al, BMC Infectious Diseases, April 25, 2022
(Posted: Apr 25, 2022 8AM)
To quantify and track the ongoing contributions of genomics and precision health to the COVID-19 response, the Office of Genomics and Precision Public Health at the Centers for Disease Control and Prevention created the COVID-19 Genomics and Precision Health database (COVID-19 GPH), an open access knowledge management system and publications database that is continuously updated through machine learning and manual curation.
This unique knowledge management database makes it easier to explore, describe, and track how the pandemic response is accelerating the applications of genomics and precision health technologies.
Tracking the Scientific Literature on the Impact of Pharmacogenomics on Clinical Practice and Public Health
S Abrishamcar et al, CDC blog Post, April 4 2022
(Posted: Apr 04, 2022 2PM)
Our office has created a comprehensive resource to help researchers, providers, and policy makers track progress and impact of genomics and precision health on population health. The resource features a continuously updated and curated database of scientific literature and other information. One component of this resource is a specific PGx database that focuses on progress in PGx in clinical practice and population health. A quick examination of our PGx database shows significant growth in translation and implementation science in the last decade. The number of published studies in these areas increased from 12 in 2012 to 333 in 2021.
Advancing Implementation Science in Precision Public Health: Ensuring Health Equity and Balancing Evolution and Sustainment
Precision Public Health Network webinar, April 27, 2022
(Posted: Mar 22, 2022 7AM)
The rapid development of advances in biomedical research creates levers to improve precision health and health care. However, without complementary attention to a robust agenda on implementation science, we risk replicating the “bench” to “bookshelf” pathway for scientific discoveries. Dr David Chambers will discuss challenges and opportunities, assumptions and ongoing activities toward advancing implementation science in the context of dynamic systems, an evolving evidence base and a desire to sustain effective and equitable health interventions over time.
Real life experience with the wearable cardioverter-defibrillator in an international multicenter Registry.
El-Battrawy Ibrahim et al. Scientific reports 2022 2 (1) 3203
(Posted: Feb 27, 2022 10AM)
Patients at high risk for sudden cardiac death (SCD) may benefit from wearable cardioverter defibrillators (WCD) by avoiding immediate implantable cardioverter defibrillator (ICD) implantation. Different factors play an important role including patient selection, compliance and optimal drug treatment. We aimed to present real world data from 4 centers from Germany and Switzerland. Between 04/2012 and 03/2019, 708 patients were included in this registry. Patients were followed up over a mean time of 28?±?35.5 months. Outcome data including gender differences and different etiologies of cardiomyopathy were analyzed. Out of 708 patients (81.8% males, mean age 61.0?±?14.6), 44.6% of patients had non-ischemic cardiomyopathy, 39.8% ischemic cardiomyopathy, 7.9% myocarditis, 5.4% prior need for ICD explantation and 2.1% channelopathy.
Improving Diversity of the Genomics Workforce
NASEM RoundTable on Genomics and Precision Health, February 18, 2022
(Posted: Feb 18, 2022 0PM)
The workshop, Improving Diversity of the Genomics Workforce, examined the current state of diversity of the genetics and genomics workforce; the structural and social factors associated with the lack of workforce diversity; the impact of diversity in the workforce on access to genetic services and patient outcomes; and possible actions that could lead to a more diverse, equitable, and inclusive genomics workforce. This Proceedings of a Workshop-in Brief highlights the presentations and discussions that occurred during the workshop.
The Use of Machine Learning in Health Care: No Shortcuts on the Long Road to Evidence-based Precision Health
D Rasooly et al, CDC Blog Post, December 7, 2021
(Posted: Dec 07, 2021 1PM)
Two recent systematic reviews reveal the high risk of bias present in randomized controlled trials (RCTs) and observational studies based on machine learning and artificial intelligence. Given that methodological challenges and risk of biases in ML-based models can occur across different development stages, such as data curation, model selection and implementation, and validation, there is a need for broad discussion of possible solutions.
Digital twins for predictive oncology will be a paradigm shift for precision cancer care
TH Boussard et al, Nature Medicine, November 2, 2021
(Posted: Nov 27, 2021 9AM)
Cancer patient digital twins (CPDTs) use emerging computing and biotechnologies to build in silico individual representations that dynamically reflect molecular, physiological and lifestyle status across different treatments and time. We propose a CPDT framework with a continuous life cycle for shared decision-making.
Transdisciplinary Conference for Future Leaders in Precision Public Health
Speakers Slide Presentations, November 2021
(Posted: Nov 12, 2021 7AM)
This virtual event held in October 2021 connected future research leaders around the world interested in the role of genetics and precision health in the promotion of public health. The speakers provided opportunities for early career investigators to discuss new developments in precision public health with leading experts in the field. Attendees heard from expert epidemiologists, behavioral scientists, statisticians, and global public health leaders about topics such as health equity in genetic epidemiology, genetic risk communication in cancer care, and biostatistics and modeling.
Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset
E Grzesiak et al, JAMA Network Open, September 29, 2021
(Posted: Sep 30, 2021 7AM)
In a cohort study of 31 participants inoculated with H1N1 and 18 participants with rhinovirus, infection detection and severity prediction models trained using data on wearable devices were able to distinguish between infection and noninfection with 92% accuracy for H1N1 and 88% accuracy for rhinovirus and were able to distinguish between mild and moderate infection 24 hours prior to symptom onset with 90% accuracy for H1N1 and 89% accuracy for rhinovirus.
Improving Diversity of the Genomics Workforce: A Workshop
NASEM Roundtable on Genomics and Precision Health workshop, October 5, 2021
(Posted: Sep 20, 2021 3PM)
This virtual public workshop that will examine the current state of diversity (e.g., racial, ethnic) of the genetics and genomics workforce, structural issues that have contributed to diversity challenges, and potential steps forward. Workshop discussions may address topics such as the impact of racism on the culture of the fields of genetics and genomics; how the genetics/genomics workforce is or is not uniquely affected by structural racism; and the relationship between the lack of diversity in the workforce and patient access to genetic services.
A systematic literature review of disclosure practices and reported outcomes for medically actionable genomic secondary findings.
Sapp Julie C et al. Genetics in medicine : official journal of the American College of Medical Genetics 2021 8
(Posted: Aug 27, 2021 7AM)
Secondary findings (SFs) are present in 1–4% of individuals undergoing genome/exome sequencing. A review of how SFs are disclosed and what outcomes result from their receipt is urgent and timely.Variation in how SF disclosure and outcomes were described limited our ability to compare findings. We conclude the literature provided limited insight into how the American College of Medical Genetics and Genomics (ACMG) guidelines have been translated into precision health outcomes for SF recipients. Robust studies of SF recipients are needed and should be prioritized for future research.
Personalized lab test models to quantify disease potentials in healthy individuals
NM Cohen et al, Nature Medicine, August 23, 2021
(Posted: Aug 25, 2021 8AM)
Using EHRs, we generated a filtered dataset, including ~0.5 billion lab measurements from 2.8?M individuals. Based on these data we developed tools for multivariate longitudinal analysis and showed that they can predict patients’ within-normal lab trajectories at surprisingly high accuracy. Personalized lab models can then be applied to patients with still-normal lab readouts to evaluate risks for future lab test abnormalities, deterioration toward multiple types of chronic diseases and overall mortality.
Tracking the Scientific Literature on SARS-CoV-2 Variants Using the COVID-19 Genomics and Precision Health Knowledge Base
M Feero et al, CDC blog post, July 27, 2021
(Posted: Jul 27, 2021 1PM)
From December 2020 to January 2021, the number of preprints and journal publications on variants doubled from 106 to 213). By March 2021, more than 300 new publications on variants were appearing each month. Preprints accounted for 37% of the total publications in both 2020 and 2021. Most publications on variants focused on mechanism (e.g., effects of mutations on binding to host receptors) or on potential clinical applications (e.g., diagnosis, treatment, or vaccines). Only a small fraction addressed public health topics, such as surveillance or forecasting, prevention, or health equity.
Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses
EC Khoong et al, NPJ Digital Medicine, July 22, 2021
(Posted: Jul 23, 2021 7AM)
Mobile health (mHealth) technologies improve hypertension outcomes, but it is unknown if this benefit applies to all populations. This review aimed to describe the impact of mHealth interventions on blood pressure outcomes in populations with disparities in digital health use.
Resources in Genomics and Precision Health to Enhance Public Health Impact of New Technologies
CDC slide set, 2021
(Posted: Jul 19, 2021 2PM)
The presentation reviews the CDC Public Health Genomics and Precision Health Knowledge Base (PHGKB), a suite of searchable databases that includes publications and other resources. It includes: 1) COVID Genomics and Precision Health, a database that includes publications and other resources about the impact of genomics and precision health technologies on the investigation and control of COVID-19; 2) My Family Health Portrait, a family health history collection tool that allows users to save and share their family health history information; and 3) Specialized PHGKB databases such as reproductive and child health, family health history, and health equity.
‘It’s hard to know what’s trustworthy’: A new research effort aims to vet digital health data from wearables
K Palmer, Stat News, June 22, 2021
(Posted: Jun 23, 2021 8AM)
Continuous health monitoring: An opportunity for precision health.
Gambhir Sanjiv S et al. Science translational medicine 2021 6 (597)
(Posted: Jun 12, 2021 7AM)
Continuous health monitoring and integrated diagnostic devices, worn on the body and used in the home, will help to identify and prevent early manifestations of disease. However, challenges lie ahead in validating new health monitoring technologies and in optimizing data analytics to extract actionable conclusions from continuously obtained health data.
Wearable sensors enable personalized predictions of clinical laboratory measurements
J Dunn et al, Nature Medicine, May 24, 2021
(Posted: May 25, 2021 7AM)
We examined whether vital signs as measured by consumer wearable devices (that is, continuously monitored heart rate, body temperature, electrodermal activity and movement) can predict clinical laboratory test results using machine learning models, including random forest and Lasso models. Our results demonstrate that vital sign data collected from wearables give a more consistent and precise depiction of resting heart rate than do measurements taken in the clinic
Mobile Health: making the leap to research and clinics
JP Ku et al, NPJ Digital Medicine, May 14, 2021
(Posted: May 15, 2021 7AM)
Health applications for mobile and wearable devices continue to experience tremendous growth, but their impact on healthcare has yet to be fully realized. This commentary introduces three articles in a special issue that provides guidance on how to successfully address translational barriers to bringing mobile health technologies into clinical research and care. We also discuss how the cross-organizational sharing of data, software, and other digital resources can lower such barriers and accelerate progress across mobile health
Wearables as a tool for measuring therapeutic adherence in behavioral health
L Wedlund et al, NPJ Digital Medicine, May 10, 2021
(Posted: May 11, 2021 8AM)
When the FDA approved digital aripiprazole (an antipsychotic medication containing an ingestible sensor to track consumption), the medical community gained a new tool for measuring compliance, theoretically paving the way for new initiatives to find and help nonadherent patients. However, digital aripiprazole comes with a hefty price tag of $1700 for a 30-day supply (85× the price of generic aripiprazole)4, and with no existing randomized control trials to show how digital aripiprazole changes medication adherence5, it may be difficult to justify the cost.
Precision Health Diagnostic and Surveillance Network uses S Gene Target Failure (SGTF) combined with sequencing technologies to identify emerging SARS-CoV-2 variants.
RG Preston et al, MEDRXIV, May 7, 2021
(Posted: May 08, 2021 6AM)
Several genomic epidemiology tools have been developed to track the public and population health impact of SARS-CoV-2 community spread worldwide. A SARS-CoV-2 Variant of Concern (VOC) B.1.1.7, known as 501Y.V1, which shows increased transmissibility, has rapidly become the dominant VOC in the United States (US). Our objective was to develop an evidenced-based genomic surveillance algorithm that combines RT-PCR and sequencing technologies to identify VOCs.
Ensuring that biomedical AI benefits diverse populations
J Zhou et al, E Biomedicine, May 4, 2021
(Posted: May 04, 2021 3PM)
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic research discovery to individual health assessment. It is critical that these advances in technology broadly benefit diverse populations from around the world. This can be challenging because AI algorithms are often developed on non-representative samples and evaluated based on narrow metrics. Here we outline key challenges to biomedical AI in outcome design, data collection and technology evaluation, and use examples from precision health to illustrate how bias and health disparity may arise.
Stool-based Colorectal Cancer Screening in the COVID-19 Era
WD Dotson et al, CDC Blog, April, 12, 2021
(Posted: Apr 13, 2021 7AM)
The broad aftermath of the pandemic will be with us for many years to come. Some of the resulting changes can be positive, including an increased awareness of digital, genomic and other precision health technologies which may provide alternatives to traditional screening methods.
Remote Patient Monitoring — Overdue or Overused?
K Mecklai et al, NEJM, April 10, 2021
(Posted: Apr 12, 2021 8AM)
The Covid-19 pandemic has challenged clinicians to find innovative ways to provide essential services while minimizing risks for themselves and their patients. These approaches increasingly leverage remote patient monitoring (RPM), using technology to support treatment for chronic conditions. As the use of RPM services grows, clinicians, payers, and patients face important questions regarding the volume, value, and appropriate use of this care model.
CDC Resources in Genomics and Precision Health to Enhance Public Health Impact of New Technologies
CDC Webinar, March 25,2021
(Posted: Feb 27, 2021 7AM)
Advances in genomics and precision health are ushering a new era of precision medicine and precision public health. The pace of scientific discoveries is accelerating and the applications in research, clinical, and public health practice are multiplying. For just about anyone – researchers, practitioners and the general public alike – staying abreast of the latest news and publications is a daunting task.
Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank.
Clift Ashley K et al. JMIR mHealth and uHealth 2021 Feb 9(2) e25655
(Posted: Feb 19, 2021 10AM)
The objective of the study was to develop and validate a novel, easily interpretable, points-based health score ("C-Score") derived from metrics measurable using smartphone components and iterations thereof that utilize statistical modeling and machine learning (ML) approaches.A literature review was conducted to identify relevant predictor variables for inclusion in the first iteration of a points-based model. This was followed by a prospective cohort study in a UK Biobank population.
Precision Nutrition: Research Gaps and Opportunities Workshop
NIH Workshop, January 11-12, 2021
(Posted: Jan 05, 2021 8AM)
Precision nutrition science enables individualized dietary recommendations or therapies based on these factors. This workshop will bring together scientists with diverse expertise to explore how best to address these complex factors. It also will focus on diet-related chronic diseases and how artificial intelligence (AI) and deep-learning techniques may be used to generate individualized dietary recommendations and algorithms.
Public Health Genomics in Action: A State-based Approach to Genomics and Precision Health
CDC Webinar, January 28, 2021
(Posted: Dec 22, 2020 8AM)
To date, there are only a few state-based population-based efforts to leverage new science with capacity of medicine, public health and the private sector in improving health outcomes. This seminar will focus on two such initiatives, the Alabama Genomic Health Initiative (AGHI) and the North Carolina Precision Health Collaborative (NCPHC).
How blockchain and genetic engineering could make food safer for people with allergies
G Poppy, Nature Outlook, December 2020
(Posted: Dec 20, 2020 11AM)
The two technologies might ultimately bring an end to ‘may contain’ food labels, which consumers find confusing. Technology and innovation play a major part in global health challenges, as demonstrated by current efforts to find a vaccine against COVID-19. In the case of food allergies, two technologies spring to mind.
2021: research and medical trends in a post-pandemic world
M May, Nature Medicine, December 7, 2020
(Posted: Dec 10, 2020 11AM)
Goodbye 2020: Research and medical trends in a post-pandemic world include a new normal, open repositories, leaps ahead for immunology, more digital health and better preparedness.
Assessing Lifting Risk Factors Using Wearable Motion Sensors
MS Barim et al, NIOSH Blog, October 2020
(Posted: Oct 26, 2020 9AM)
A combination of work-related physical risk factors such as awkward postures or heavy lifting may lead to an increased risk of developing low back issues. Inertial measurement unit- (IMU) based wearable technologies are becoming popular as a tool to track whole body postures for ergonomic risk assessments.
Precision Medicine Leaders Summit
PMLS, North Carolina Precision Health Initiative, October 20-21, 2020
(Posted: Oct 06, 2020 8AM)
Advances in genomics and precision health technologies are changing the practice of medicine and public health. The public health response to genomics and precision health technologies illustrates the current opportunities and challenges of new technologies in improving population health and preventing disease.
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
CA Dester et al, NPJ Digital Medicine, September 21, 2020
(Posted: Sep 22, 2020 10AM)
The approach proposed in this paper relies on machine learning-based algorithms to derive clinical score estimates from wearable sensor data collected during functional motor tasks. Sensor-based score estimates showed strong agreement with those generated by clinicians.
The Role of Digital Health Technologies in Drug Development: Proceedings of a Workshop
NASEM Roundtable on Genomics and Precision Health Workshop, 2020
(Posted: Aug 28, 2020 10AM)
This workshop explored how virtual clinical trials facilitated by digital health technologies (DHTs) might change the landscape of drug development. Participants considered how DHTs could be applied to achieve the greatest impact—and perhaps even change the face of how clinical trials are conducted—in ways that are also ethical, equitable, safe, and effective.
Wearable-device-measured physical activity and future health risk
T Strain et al, Nature Medicine, August 17, 2020
(Posted: Aug 18, 2020 7AM)
This UK Biobank study shows that higher volumes of activity energy expenditure are associated with lower mortality rates. This approach for converting device-measured activity signals to energy expenditure and relating this to health risk creates a framework for future personalized prevention from wearables.
Rare Diseases and COVID-19
CDC COVID-19 Genomics and Precision Health Portal, August 2020
(Posted: Aug 08, 2020 10AM)
This section of the portal lists all rare diseases, many of which are genetic diseases, that have been connected to COVID-19 in the literature. As of today, there are 84 diseases/conditions from the list of nearly 7,000 rare diseases extracted from the NIH website that are related to COVID-19 literature or news and reports.
Precision Health Analytics With Predictive Analytics and Implementation Research- JACC State-of-the-Art Review
TA Pearson et al, JACC, July 2020
(Posted: Jul 15, 2020 0PM)
Predictive analytics expands the quality and quantity of data needed to inform patient care. Complex genome and exposome data will inform new cardiovascular decision tools. New decision tools require implementation research to define use, benefits, and sustainability. Precision health requires training for new teams of data scientists and clinicians.
From Precision Medicine to Precision Public Health: Beyond the Pandemic
MJ Khoury et al, CDC Blog Post, June 18, 2020
(Posted: Jun 21, 2020 3PM)
As the CDC Coronavirus Disease portal in genomics and precision health shows, an emerging display of scientific productivity is shifting the narrative from precision medicine to precision public health in response to the COVID-19 pandemic.
The Project Baseline Health Study: a step towards a broader mission to map human health
K Arges et al, NPJ Digital Medicine, June 5, 2020
(Posted: Jun 06, 2020 6AM)
The PBHS will contribute to precision health and medicine by integrating state of the art testing, longitudinal monitoring and participant engagement, and by contributing to the development of an improved platform for data sharing and analysis
Using Digital Technologies in Precision Public Health: COVID-19 and Beyond
MJ Khoury et al, CDC Blog, April 2020
(Posted: Apr 26, 2020 8AM)
With the global spread of COVID-19, there is a proliferation of scientific information and publications that use novel approaches such as genomics and precision health tools (e.g., big data, wearables, and digital devices) in surveillance and epidemiologic investigations. Could these new technologies provide added value to traditional approaches?
A New Resource for Genomics and Precision Health Information and Publications on the Investigation and Control of COVID-19 and other Coronaviruses
W Yu et al, BIORXIV, April 21, 2020
(Posted: Apr 22, 2020 8AM)
We developed a new online database that contains the most updated published scientific literature, online news and reports, CDC and National Institutes of Health resources. The tool captures emerging discoveries and applications of genomics, molecular, and other precision health tools in the investigation and control of coronavirus diseases.
The Prospective Lynch Syndrome Database reports enable evidence-based personal precision health care.
Møller Pål et al. Hereditary cancer in clinical practice 2020 186
(Posted: Mar 25, 2020 9AM)
The future of sleep health: a data-driven revolution in sleep science and medicine
NPJ Digital Medicine, March 23, 2020
(Posted: Mar 24, 2020 6AM)
We introduce the state-of-the-art in sleep-monitoring technologies, and discuss the opportunities and challenges from data acquisition to the eventual application of insights in clinical and consumer settings. Further, we explore the strengths and limitations of current and emerging sensing methods with a particular focus on novel data-driven technologies.
Use of artificial intelligence in infectious diseases
S Aghrebi et al, AI in Precision Health, March 2020
(Posted: Mar 16, 2020 8AM)
With the advent of mathematical tools, scientists are now able to better predict epidemics, understand the specificity of each pathogen, and identify potential targets for drug development.
Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units
HU Chung et al, Nature Medicine, March 11, 2020
(Posted: Mar 12, 2020 10AM)
NHGRI establishes new intramural precision health research program
NIH, February 2020
(Posted: Feb 17, 2020 10AM)
The National Human Genome Research Institute has announced plans to establish a new precision health research program within its Division of Intramural Research. The goal of the program is to develop and evaluate next-generation healthcare that uses cutting-edge genomic and informatic tools to improve the diagnosis, treatment and prevention of disease.
Smartphones vs Wearable Devices for Remotely Monitoring Physical Activity After Hospital Discharge
MS Patel et al, JAMA Network Open, February 2020
(Posted: Feb 10, 2020 9AM)
Nearly 80% of US adults own a smartphone,1 which accurately tracks physical activity. Wearable devices are growing in adoption and can track other biometrics.The objective of this study was to compare the duration of remotely monitoring physical activity from smartphones vs wearables in the 6 months after hospital discharge.
Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults.
Quer Giorgio et al. PloS one 2020 (2) e0227709
(Posted: Feb 06, 2020 9AM)
Individuals have a daily resting heart rate (RHR) that is normal for them but can differ from another individual's normal by as much as 70 bpm. Within individuals, RHR was much more consistent over time, with a small but significant seasonal trend, and detectable discrete and infrequent episodes outside their norms
Introducing "Precision Health Promotion": The Convergence of Genomics, Health Education, and Lived Experience.
Terry Paul E et al. American journal of health promotion : AJHP 2020 Jan 890117120903129
(Posted: Feb 05, 2020 9AM)
Some voice concerns that the growth of PM emphasize the medical model for health with undue focus on individual rather than societal solutions. We introduce precision health promotion as "the personalized design of lived experiences that foster improved health and well-being for individuals within the context of their families, organizations and communities."
Coronavirus Genomics and Precision Health Knowledge Base
PHGKB information and publications on coronavirus, genomics and precision health
(Posted: Jan 31, 2020 9AM)
The latest information and publications on the role of genomics and precision health technologies in the investigation and control of coronavirus infection.
Deep phenotyping during pregnancy for predictive and preventive medicine
AG Paquette et al, Scit Trans Medicine, Januar 22, 2020
(Posted: Jan 24, 2020 8AM)
Systems biology offers a holistic approach to deciphering physiology or disease by deriving and integrating biological information to delineate relevant networks and their dynamics. We discuss why pregnancy is particularly well suited for prototyping deep phenotyping, scientific wellness, and related systems biology approaches to predictive medicine.
An unsupervised learning approach to identify novel signatures of health and disease from multimodal data.
Shomorony Ilan et al. Genome medicine 2020 Jan (1) 7
(Posted: Jan 17, 2020 8AM)
We collected 1385 data features from diverse modalities, including metabolome, microbiome, genetics, and advanced imaging, from 1253 individuals and from a longitudinal validation cohort of 1083 individuals. We utilized a combination of unsupervised machine learning methods to identify multimodal biomarker signatures of health and disease risk.
Innovation should support societal responsibility for health
R Milne et al, BMJ Blog, January 2020
(Posted: Jan 07, 2020 8AM)
The popular emphasis on genomics and precision health technology being harnessed by individuals fails to consider how it can be used to improve social determinants of health.
Communication and Information Sharing about Genomics and Precision Health: Opportunities for Improvement
C Allen et al, CDC Blog, January 2, 2020
(Posted: Jan 04, 2020 2PM)
We describe our current approach to information sharing based on a recent review of our communication and engagement strategies. In order to improve our approaches to communication, we are asking you, our readers, for feedback—please share your thoughts here.
Ethical and Legal Considerations for the Inclusion of Underserved and Underrepresented Immigrant Populations in Precision Health and Genomic Research in the United States.
Wagner Jennifer K et al. Ethnicity & disease 2019 29(Suppl 3) 641-650
(Posted: Jan 02, 2020 10AM)
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors
BR Greene, NPJ Digital Medicine, December 2019
(Posted: Dec 12, 2019 9AM)
Mass-producing wearable sensors: No sweat
LH Han, Sci Trans Med, December 11, 2019
(Posted: Dec 12, 2019 8AM)
Laser engraving can mass-produce cost-efficient, wearable sensors that monitor vital signs and sweat, detecting biomarkers linked to chronic diseases.
Epidemiologic Research in Dry Eye Disease and the Utility of Mobile Health Technology
MTM Wang et al, JAMA Ophthalmology, November 28 2019
(Posted: Nov 29, 2019 9AM)
One of the particularly novel aspects of the current study was the use of a crowdsourced smartphone application for the purpose of epidemiologic data collection. The use of mobile health technology tools offers the ability to collect detailed information from a large population in a relatively cost-effective, time-efficient, and user-friendly manner.
Diagnosing With a Camera From a Distance—Proceed Cautiously and Responsibly
MP Turakhia, JAMA Cardiology, November 2019
(Posted: Nov 28, 2019 9AM)
A new study asks whether video images of the human face can be used to assess pulsatile blood flow and assess for atrial fibrillation. Using a digital camera, the authors recorded 20 individuals with atrial fibrillation and 24 controls. This proof-of-concept study may have bold implications.
Wearable graphene sensors use ambient light to monitor health
Nature News, November 18, 2019
(Posted: Nov 19, 2019 8AM)
Graphene coated with nanoparticles has been used to make wearable light sensors that measure the human pulse and blood oxygen levels from ambient light passing through tissue, offering a potential platform for health-care monitoring.
Integrated textile sensor patch for real-time and multiplex sweat analysis
W He et al, Science Advances, November 8, 2019
(Posted: Nov 11, 2019 6AM)
Wearable sweat analysis devices for monitoring of multiple health-related biomarkers with high sensitivity are highly desired for noninvasive and real-time monitoring of human health. Here, we report a flexible sweat analysis patch based on a silk fabric–derived carbon textile for simultaneous detection of six health-related biomarkers.
Digital endpoints library can aid clinical trials for new medicines
J Goldsack et al, Stat News, November 6, 2019
(Posted: Nov 09, 2019 8AM)
Digital endpoints can use sensors to capture existing measures in a new way, say using a smartphone microphone to measure cough instead of relying on a patient to record episodes of coughing in a diary. Continuous assessment of the quantity and intensity of activity, measured using a wearable sensor, can be a clinically important digital endpoint for heart failure.
Wearable technology and lifestyle management: the fight against obesity and diabetes
The Lancet Digital Health, Vol 1, Iss 6, Pe 243, October 1, 2019
(Posted: Oct 11, 2019 0PM)
A Theoretical Framework for Clinical Implementation of Social Determinants of Health.
Hammond Gmerice et al. JAMA cardiology 2019 Oct
(Posted: Oct 11, 2019 8AM)
Social determinants of health are key drivers of poor outcomes and inequity. "But how to collect these data, who should collect it, how much data are needed, and how it should be used remain unclear." Read this informative framework. The paper discusses 4 use cases: Clinical assessment and risk prediction, performance evaluation, person-focused SDOH interventions, and population-based interventions and policies.
Introducing the CDC Office of Genomics and Precision Public Health: What’s in a Name?
M Khoury, CDC Blog, September 30, 2019
(Posted: Oct 01, 2019 8AM)
Starting this week, the CDC Office of Public Health Genomics will be renamed the CDC Office of Genomics and Precision Public Health. In many ways, this transition has been a few years in the making and reflects the continuous broadening of our scope from human genomics and public health to include other areas relevant to “precision” health technologies.
Exploring the Current Landscape of Consumer Genomics - A Workshop
NASEM workshop, October 29, 2019
(Posted: Sep 30, 2019 9AM)
The Roundtable on Genomics and Precision Health will host a public workshop on October 29, 2019 to explore the current landscape of consumer genomics and implications for how genetic test information is used or may be used in research and clinical care. Discussions include topics such as health literacy and engagement, knowledge gaps and data privacy concerns.
Digital health: From clinical trials to diagnosis and surgery, artificial intelligence has the potential to transform medicine.
R Hodson, Nature Outlook, September 25, 2019
(Posted: Sep 27, 2019 10AM)
In the past decade, the use of artificial intelligence (AI) has grown to the point where there are now few areas of our lives that it does not touch. The potential of digital transformation is particularly far-reaching in medicine.
Towards a tricorder for diagnosing paediatric conditions
J Chan et al, The Lancet, September 12, 2019
(Posted: Sep 13, 2019 9AM)
This review explores how precision health technologies including smartphones, sensors, and artificial intelligence algorithms are changing the landscape of diagnosis of childhood conditions.
Enabling Web-scale data integration in biomedicine through Linked Open Data
MR Kamdar et al, NPJ Digital Medicine, September 10, 2019
(Posted: Sep 11, 2019 9AM)
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
K Huckvale, NPJ Digital Medicine, Septetmber 2019
(Posted: Sep 08, 2019 6AM)
The authors identify four opportunities for research directed toward this goal: exploring intermediate outcomes and underlying disease mechanisms; focusing on purposes that are likely to be used in clinical practice; anticipating quality and safety barriers to adoption; and exploring the potential for digital personalized medicine.
Mobile Devices and Health.
Sim Ida et al. The New England journal of medicine 2019 Sep (10) 956-968
(Posted: Sep 05, 2019 8AM)
Mobile health is at the swirling confluence of remote sensing, consumer-facing personal technologies, and artificial intelligence. Data from smartphone apps and an ever-growing range of wearable and environmental sensors can be processed with the use of machine learning and other AI techniques to support health related decision making.
A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers
C Shufelt et al, NPJ Digital Medicine, September 3, 2019
(Posted: Sep 03, 2019 10AM)
Using biosensor, biomarkers, and patient-reported outcomes in participants with stable ischemic heart disease, the PRE-MACE study is designed to measure cross-sectional correlations and establish the ability of remote monitoring to predict major adverse cardiovascular event.
Developing a digital intervention for cancer survivors: an evidence-, theory- and person-based approach
K Brabdbury et al, NPJ Digital Medicine, September 2, 2019
(Posted: Sep 02, 2019 2PM)
Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views
N Dagan et al, NPJ Digital Medicine, August 21, 2019
(Posted: Aug 22, 2019 7AM)
This study proposes a process, focused on practical usability, for translating RCT data into personalized treatment recommendations that weighs benefits against harms and integrates subjective perceptions of relative severity. Intensive blood pressure treatment was selected as the test case to demonstrate the suggested process.
