AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Heart computational model can help doctors operate on and treat patients with arrhythmia

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...
The Associated Press

Food companies are targeting users of weight-loss drugs with ‘GLP-1 Friendly’ labels

Friendly” labels on the packaging are becoming more common in U.S. supermarkets as a growing number of Americans ...
IEEE

A Novel CNN-Based Approach for Accurate Binary Classification of Diabetes Using Clinical Data

Abstract: Millions of individuals worldwide suffer from a chronic metabolic disease called diabetes. Conventional diagnos-tic techniques frequently depend on expert interpretation and clinical testing ...
Frontiers

Identification of biomarkers and construction of discriminating model for tuberculosis patients with diabetes mellitus based on proteomics: a cross-sectional study

Background: Tuberculosis-diabetes mellitus (TB-DM) comorbidity presents significant clinical challenges due to poor treatment outcomes. This study investigated peripheral blood lymphocyte profiles and ...
IEEE

Improving Accuracy of Diabetes Prediction Using Machine Learning Techniques and Clinical Data

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...