Python-based framework makes climate dynamics more approachable for students and researchers

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...

An AI tool is trying to predict your risk of getting many diseases years in advance – here’s how it works

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.
Frontiers

Predicting postoperative pulmonary infection risk in patients with diabetes using machine learning

Background: Patients with diabetes face an increased risk of postoperative pulmonary infection (PPI). However, precise predictive models specific to this patient group are lacking. Objective: To ...
IEEE

Predicting Diabetic Distress and Emotional Burden in Type-2 Diabetes Using Explainable AI

Abstract: Diabetic distress is a significant psychological burden affecting many individuals with Type-2 Diabetes Mellitus. Despite its prevalence, it remains underrecognized, and its impact can be ...
EurekAlert!

New estimates predict over 4 million missing people who would be alive in 2025 if not for inadequate type 1 diabetes care

The global type 1 diabetes (T1D) burden continues to increase rapidly driven by rising cases, ageing populations, improved diagnosis and falling death rates, according to the results of a new ...
Frontiers

Association between eating behavior patterns and the therapeutic efficacy of GLP-1 receptor agonists in individuals with type 2 diabetes: a multicenter prospective ...

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are widely used to improve glycemic control and induce weight loss in individuals with type 2 diabetes (T2D), yet treatment responses ...
IEEE

High accuracy Diabetes Prediction Using Logistic Regression

Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...