Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Scientists at Scripps Research have been awarded two grants totalling $2 million to scale up global infectious disease tracking ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

Abstract: This project focuses on predicting heart, lung, and brain diseases using advanced machine learning (ML) and deep learning (DL) techniques. The system analyzes complex patterns from diverse ...

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely ...

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD), reports a new study at Columbia ...

Objective Atrial fibrillation (AF) screening by age achieves a low yield and misses younger individuals. We aimed to develop an algorithm in nationwide routinely collected primary care data to predict ...

A new artificial intelligence model in the United States, SleepFM, has found that patterns in human slumber can be used to predict a person's risk for about 130 diseases, including dementia and ...

Bengaluru: Great Learning on Wednesday announced the launch of an AI in Healthcare programme in collaboration with Johns Hopkins University (JHU), one of the world’s top institutions in medicine and ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...