When combined with clinical markers, smartwatch data was able to help detect insulin resistance with nearly 90 percent ...

Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features.

Neurodegenerative diseases encompass a group of conditions characterized by the progressive degeneration and death of nerve cells, which include disorders like Parkinson's disease, Alzheimer's disease ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

Abstract: Diabetes is a chronic metabolic disorder caused by insufficient insulin production or ineffective insulin utilization, resulting in elevated blood glucose levels. As a major global health ...

aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Abstract: In this project, we have built a system that uses machine learning to predict not just diabetes, but also related issues like heart and kidney diseases. We have taken the PIMA Indian dataset ...

The insurance industry is no stranger to change, but few innovations have sparked as much transformation as machine learning (ML). In recent years, ML has revolutionized property and casualty (P&C) ...