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 ...

Detecting infectious disease threats early and responding quickly can dramatically alter the course of an infectious outbreak.

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

BioMedWire Editorial Coverage: Cancer research is entering one of its most dynamic periods in decades. The class of drugs known as DNA ...

A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if ...

Using centuries of land-use data, scientists have trained an AI system that evolves policy ideas the way nature evolves species—testing, mutating, and keeping only the best. The result? Smarter ...

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 ...

Physicist Cecilia Clementi at Freie Universität Berlin is set to receive an Advanced Grant worth roughly 3.037 million euros ...

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 ...