Last Update Date: Sep 27, 2020
- Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.
Lewis Nathaniel M et al. MMWR. Morbidity and mortality weekly report 2020 Sep 69(38) 1369-1373 - How Do Children Fight Off the Coronavirus? The secret may lie in an “innate” immune response that targets unrecognized invaders, scientists say.
A Mandavilli, NY Times, September 25, 2020 - High admission blood glucose is an independent risk factor of poor prognosis in COVID-19: A systematic review and dose-response meta-analysis
G Lazarus et al, MEDRXIV, September 27, 2020 - Assessing the Impact of the Covid-19 Pandemic on US Mortality: A County-Level Analysis
AC Stokes et al, MEDRXIV, September 26, 2020 - Susceptibility to SARS-CoV-2 Infection Among Children and Adolescents Compared With Adults: A Systematic Review and Meta-analysis.
Viner Russell M et al. JAMA pediatrics 2020 Sep - Racism, Not Race, Drives Inequity Across the COVID-19 Continuum
R Khazanchi et al, JAMA Network Open, September 25, 2020 - Diagnosing Chronic Obstructive Airway Disease: a diagnostic accuracy study of a smartphone delivered algorithm combining patient-reported symptoms and cough analysis for use in acute care consultations.
P Porter et al, MEDRXIV, September 25, 2020 - Risk factors for mortality among hospitalized patients with COVID
D Incerti et al, MEDRXIV, September 24, 2020 - Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm-Evaluation of Diagnostic Performance.
Wuestemann Jan et al. Cancers 2020 Sep 12(9) - Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis.
Budai Bettina Katalin et al. BMC medical imaging 2020 Sep 20(1) 108 - Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.
Summers Ronald M et al. Academic radiology 2020 Sep - Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade.
Arbour Kathryn C et al. Cancer discovery 2020 Sep - The 17-y spatiotemporal trend of PM 2.5 and its mortality burden in China.
Liang Fengchao et al. Proceedings of the National Academy of Sciences of the United States of America 2020 Sep - Developing a data-driven algorithm for guiding selection between cognitive behavioral therapy, fluoxetine, and combination treatment for adolescent depression.
Gunlicks-Stoessel Meredith et al. Translational psychiatry 2020 Sep 10(1) 321 - Identification of dental implants using deep learning-pilot study.
Takahashi Toshihito et al. International journal of implant dentistry 2020 Sep 6(1) 53 - Radiology Artificial Intelligence: Bringing Theory to Clinical Practice.
Chong Jaron et al. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes 2020 Sep 846537120959875 - The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study.
Kriventsov Stan et al. JMIR diabetes 2020 Sep 5(3) e18660 - Image-based state-of-the-art techniques for the identification and classification of brain diseases: a review.
Haq Ejaz Ul et al. Medical & biological engineering & computing 2020 Sep - Artificial Intelligence in Renal Mass Characterization: A Systematic Review of Methodologic Items Related to Modeling, Performance Evaluation, Clinical Utility, and Transparency.
Kocak Burak et al. AJR. American journal of roentgenology 2020 Sep 1-10 - RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.
Barquero Germán et al. NeuroImage. Clinical 2020 Sep 28102412
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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