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

Being able to instantly and accurately predict the trajectory of a person's health in the years to come has long been seen as ...

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 ...
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 ...
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 ...
Sports Illustrated

Notre Dame vs Texas A&M: Using EA Sports College Football 26 Simulation to Pick the Winner

Notre Dame, which fell in Week One in a heartbreaker against Miami, is in desperate need of a big-time victory over Texas A&M on Saturday night, or is at risk of falling entirely out of the College ...
Nature

Hope for diabetes: CRISPR-edited cells pump out insulin in a person — and evade immune detection

In a medical first, researchers report that they have implanted CRISPR-edited pancreas cells into a person with type 1 diabetes. The cells pumped out sugar-regulating insulin for months — without the ...