AI tools improve diagnostics and patient outcome prediction in resource-limited health care settings

After a cardiac arrest, families and doctors are often faced with agonizing uncertainty about a patient's chances of recovery ...
Science Daily

New AI model predicts which genetic mutations truly drive disease

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...
IEEE

Designing of Heart Disease Prediction Model Using Machine Learning Algorithm

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
Frontiers

Machine learning-based prediction model for teicoplanin plasma concentrations in adults with liver disease using real-world data

Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...
Scientific Research Publishing

Comparative Study of Machine Learning Techniques for Early Detection of Heart Diseases ()

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...
AOL

Doctor breaks down common side effect of using weight-loss injections

A doctor has explained the science behind one of the common side effects of using weight loss injections such as Mounjaro and Ozempic. Hair loss is a common side effect people can experience when ...
IEEE

Prediction of Alzheimer's Disease Using Machine Learning Models

Abstract: Alzheimer's disease is a degenerative neurological condition that significantly reduces quality of life by affecting memory and cognitive function. Given the difficulties with delayed ...
Frontiers

Predicting the risk of lean non-alcoholic fatty liver disease based on interpretable machine models in a Chinese T2DM population

1 Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China 2 Department of Endocrinology, Beilun People's Hospital, Ningbo, Zhejiang, China Background: ...