Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Frontiers

Machine Learning for Mining Plant Functional Genes

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

AI model predicts Alzheimer's from MRI brain volume loss with 92.87% accuracy

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...
Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
News Medical on MSN

Machine learning detects early brain changes linked to Alzheimer's disease

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
The New York Times

Starting at Harvard and Falling for Your First Tree

A freshman seminar encourages students to behave differently in the world and feel more passionately about biodiversity. Each Harvard University freshman in the “Tree” seminar must choose a single ...