Last Posted: May 24, 2020
- Machine Learning for Interpretation of DNA Variants of Maturity-Onset Diabetes of the Young Genes Based on ACMG Criteria
Y Liu et al, MEDRXIV, May 23, 2020 - The Polygenic Score Catalog: an open database for reproducibility and systematic evaluation
SA Lambert et al, MEDRXIV, May 23, 2020 - Interim Analysis of Risk Factors for Severe Outcomes among a Cohort of Hospitalized Adults Identified through the U.S. Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET)
L Kim et al, MEDRXIV, May 22, 2020 - Artificial Intelligence Uncovered Clinical Factors for Cardiovascular Events in Myocardial Infarction Patients with Glucose Intolerance.
Shindo Kazuhiro et al. Cardiovascular drugs and therapy 2020 May - Common cancer biomarkers of breast and ovarian types identified through artificial intelligence.
Pawar Shrikant et al. Chemical biology & drug design 2020 May - Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.
Chatterjee Ayan et al. Sensors (Basel, Switzerland) 2020 May 20(9) - Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China.
Zhang Li et al. PloS one 2020 15(5) e0233166 - Exploring diseases/traits and blood proteins causally related to expression of ACE2, the putative receptor of SARS-CoV-2: A Mendelian Randomization analysis highlights tentative relevance of diabetes-related traits
S Rao et al, MEDRXIV, May 12, 2020 - A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes.
Sambyal Nitigya et al. Current diabetes reviews 2020 May - Evaluation of an AI system for the detection of diabetic retinopathy from images captured with a handheld portable fundus camera: the MAILOR AI study.
Rogers T W et al. Eye (London, England) 2020 May
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