Last Update Date: Oct 04, 2020
- A One-Minute Blood Test to Monitor Immune Responses in COVID-19 Patients and Predict Clinical Risks of Developing Moderate to Severe Symptoms
C Deb et al, MEDRXIV October 2, 2020 - Racial-ethnic disparities in case fatality ratio narrowed after age standardization: A call for race-ethnicity-specific age distributions in State COVID-19 data
A Pathak et al, MEDRXIV, October 4, 2020 - COVID-19 Classification of X-ray Images Using Deep Neural Networks
E Goldstein et al, MEDRXIV, October 4, 2020 - Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
F Cabitza et al, MEDRXIV< October 4, 2020 - Social license for the use of big data in the COVID-19 era
JA Shaw et al, NPJ Digital Medicine, October 2, 2020 - Geospatial Analysis of Individual and Community-Level Socioeconomic Factors Impacting SARS-CoV-2 Prevalence and Outcomes
SJ Cromer et al, MEDRXIV, September 30, 2020 - Widening the gap: greater racial and ethnic disparities in COVID-19 burden after accounting for missing race/ethnicity data
K Labgold et al, MEDRXIV, September 30, 2020 - Alexa, do I have COVID-19?
E AnNthes, Nature News, September 30, 2020 - Analyzing Malaria Disease Using Effective Deep Learning Approach.
Sriporn Krit et al. Diagnostics (Basel, Switzerland) 2020 Sep 10(10) - Rocky road to digital diagnostics: implementation issues and exhilarating experiences.
Stathonikos Nikolaos et al. Journal of clinical pathology 2020 Sep - AI in the treatment of fertility: key considerations.
Swain Jason et al. Journal of assisted reproduction and genetics 2020 Sep - Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.
Yu Duo et al. Annals of clinical and translational neurology 2020 Sep - Development of a Social Network for People Without a Diagnosis (RarePairs): Evaluation Study.
Kühnle Lara et al. Journal of medical Internet research 2020 Sep 22(9) e21849 - Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism.
Eisenhofer Graeme et al. JAMA network open 2020 Sep 3(9) e2016209 - An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population.
Nind Thomas et al. GigaScience 2020 Sep 9(10) - Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer.
Choi Min Seo et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2020 Sep - Robots join the care team: Making healthcare decisions safer with machine learning and robotics.
Beckman Adam L et al. Healthcare (Amsterdam, Netherlands) 2020 Sep 8(4) 100465 - The Value of Quantitative Musculoskeletal Imaging.
Visser Jacob J et al. Seminars in musculoskeletal radiology 2020 Aug 24(4) 460-474 - DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
A Rodriguez et al, MEDRXIV, September 29, 2020 - Artificial intelligence to predict the risk of mortality from COVID-19: Insights from a Canadian Application
B Snider et al, MEDRXIV, September 30, 2020
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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