Most U.S. adults have risk factors tied to a little-known condition called CKM syndrome, which connects heart disease, kidney ...

This repository implements an end-to-end Machine Learning pipeline for predicting heart disease using the UCI Heart Disease (Cleveland) dataset. It covers data acquisition, preprocessing, model ...

Abstract: This study introduces an advanced method for enhancing the accuracy of heart disease prediction through machine learning techniques, specifically by optimizing the hy-perparameters of a ...

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Cambridge researchers have discovered that an existing therapy which boosts protective immune cells in people who recently ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...

Amy Bies was recovering in the hospital from injuries inflicted during a car accident in May 2007 when routine laboratory tests showed that her blood glucose and cholesterol were both dangerously high ...

Think about someone you’d call a friend. What’s it like when you’re with them? Do you feel connected? Like the two of you are in sync? In today’s story, we’ll meet two friends who have always been in ...

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly being diagnosed in young adults and is associated with long-term hepatic complications. Early detection ...