Study uses AI to rank 10 factors tied to positive substance use recovery outcomes

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Star Tribune

What you need to know about the big deal between Sutter and Allina Health

Health Care What you need to know about the big deal between Sutter and Allina Health The Minneapolis-based health system would become the Upper Midwest division of Sutter Health, a large nonprofit ...
The Lancet

Household energy use and health in low-income and middle-income countries

aDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA bSchool of Public Health, University of California San Diego, La Jolla, CA, ...
Health Affairs

When The Front Door Is An Algorithm: Guiding Consumer Use Of AI In Health Care

On January 7, 2026, OpenAI announced ChatGPT Health, a new feature that allows users to review medical test results, prepare for doctor appointments, and seek guidance on diet and fitness—while ...
cornhuskerswire.usatoday

Child care workers receive up to $300 as pilot program expands

2,500 childcare workers across Michigan are starting to see higher wages this year as the result of a 2-year pilot program launched in November 2025. Full-time workers will receive $300 more in ...
IEEE

Open-Circuit Fault Diagnosis for Charging Modules Based on Transfer Light Gradient Boosting Machine

Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...
IEEE

Ensemble and Boosting-Based Machine Learning Framework for Personality Prediction

Abstract: This study uses ensemble and advanced methods of machine learning to predict traits in individuals. Multiple models, such KNN, Logistic Regression, Random Forest, Gradient Boosting, Cat ...
frontpageafricaonline

Liberia: Rep. Kollie Donates Major Medical Consignment, Boosting Healthcare at Phebe Hospital

Speaking during the presentation ceremony at the hospital Monday, Representative Kollie described the donation as a promise fulfilled and a demonstration of his unwavering dedication to the well-being ...