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

Home Markkula Center for Applied Ethics About the Center Center News Exploring AI in Health Care and the Promise and Peril for Patients and Society Quote from Guadalupe Hayes-Mota on Ethics and AI in ...

Republicans think patients should be shopping for better health care prices. The party has long pushed to give patients money and let consumers do the work of reducing costs. After some GOP lawmakers ...

Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...

WASHINGTON — Health and Human Services Secretary Robert F. Kennedy Jr. joined forces with his cousin and former Democratic congressman Patrick Kennedy on Monday to announce a new addiction and mental ...

The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost prediction ...

Add Yahoo as a preferred source to see more of our stories on Google. New Mexico Center on Law and Poverty Health Care Director Abuko Estrada on Jan. 27, 2026, spoke in support of House Bill 4, which ...

Physicians, rural New Mexicans and behavioral health professionals joined a state lawmaker Tuesday morning in calling for the passage of legislation that could help the state shoulder coverage gaps ...

Faced with staffing shortages, administrative strain and geographic barriers, rural hospitals are increasingly adopting AI to expand care access and ease pressure on front-line teams. Rather than ...