Kidney diseases develop slowly and may not produce any obvious symptoms for a long time. The body can compensate for them so effectively that the patient remains unaware of the problem for years.

Dhanbad, has developed ‘EchoPulse’, an innovative system that integrates AI with virtual reality (VR) to make the di.

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Jaslok Hospital launches clinical study to enable AI-based prediction of Parkinson’s freezing episodes: Our Bureau, Mumbai ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...

As the use of artificial intelligence across medicine increases nationwide, The Daily Pennsylvanian spoke to professors, doctors, and researchers at the Perelman School of Medicine about how they are ...