Mayo Clinic Labs CEO explains how healthcare's data revolution reshapes clinical diagnostics and accelerates medical research.

One thing about South Asian populations is that we do have a very different presentation of diabetes, partly due to our genetics, partly due to migration pressures”, says Rohini Mathur, Professor and ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

AI brings risk clinical decision tools as UVA Health warns of algorithmic drift reducing accuracy in sepsis alerts and risk scoring.

Research engineers gather information and data to create new products and applications. These high-paying work-from-home jobs ...

Employers across the country are scrambling to fill certain mid and high skill roles that routinely pay $60,000 or more, yet still sit vacant for months. I see the same pattern in sector after sector, ...

AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

The FDA has qualified AI-Based Histologic Measurement of NASH, or AIM-NASH — the first AI drug development tool — to assist ...

Mayo Clinic launched Platform_Insights, a new data and analytics offering designed to give health systems around the world access to its clinical expertise, large-scale datasets and advanced AI ...

Datasets from diverse populations are growing and AI is getting smarter — how can these developments help people live longer and healthier lives? For several decades, health care has been benefiting ...

Providence, Microsoft researchers describe creating an AI-powered framework designed to both simulate and validate clinical ...