The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...

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 ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic and risk assessments is ...