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

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

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 ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

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

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 ...