Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...

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 ...

Abstract: Over recent years, the integration of machine learning (ML) techniques within healthcare has surged, facilitating the development of predictive models to assist in disease diagnosis and ...

A common chemical that is widespread in the U.S. has been linked to an increased risk of Parkinson’s disease, researchers say. In a recent study published in the journal Neurology, researchers found a ...

A powerful new AI predicts how over 1,000 diseases may unfold across a person’s life, opening doors for precision prevention, policy planning, and bias-aware healthcare innovation. Study: Learning the ...

A new artificial intelligence (AI) tool can forecast a person’s risk of developing more than 1,000 diseases, in some cases providing a prediction decades in advance. The tool’s ability to model ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the CKD ...

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 ...

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...

Department of Respiratory and Critical Care Medicine, Yixing People's Hospital, Yixing, Jiangsu Province, China Objective: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a ...