Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Technology is revolutionising how we gather and assess data on nature, presenting huge benefits and no little irony ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Reported Ward 15.6 6:32 p.m. Brainard Lake 14.4 6:32 p.m. St Marys Glacier 13.5 3:38 p.m. Mount Audubon 13.2 6:32 p.m.

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

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

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

An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who would relapse as three expert clinicians.XGBoost, a boosting algorithm, had ...

As Florida’s space industry accelerates at an unprecedented pace, the University of South Florida is stepping into a larger role by investing in space research, expanding faculty expertise and ...