The Chosun Ilbo on MSN

AI predicts 130 diseases from single night's sleep

A U.S. research team has developed the first-ever artificial intelligence (AI) model capable of predicting over 100 health ...
Science Daily

Stanford’s AI spots hidden disease warnings that show up while you sleep

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...
Frontiers

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...
The New York Times

Week 9 fantasy football intel, predictions using player prop lines

Can Daniel Jones top 250 passing yards in Week 9? Michael Hickey / Getty Images Though they’re ultimately two different lenses, sports betting can provide some smart intel for fantasy football and how ...
Frontiers

Skin disease diagnosis using decision and feature level fusion of deep features

Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...
Scientific Research Publishing

Ocen, S., Muchemi, L. and Yohannis, M.A. (2025) Optimized CNN Ensemble with Class-Balanced MRI Data Augmentation for Accurate Multi-Class Dementia Diagnosis.

ABSTRACT: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder where early and accurate diagnosis from Magnetic Resonance Imaging (MRI) is critical for intervention. However, low ...
News Medical

Using AI models to improve prediction of CKD's progression to end-stage renal disease

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the CKD ...
IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...