In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different positions over a period of time, and conversations as a series of words ...

Delphi-2M estimates 20-year risk for 1000+ diseases, with highest accuracy for consistent disease courses and lower reliability for heterogeneous conditions.

Being able to instantly and accurately predict the trajectory of a person's health in the years to come has long been seen as the pinnacle of medicine. This kind of information would have a profound ...

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and structural/functional changes. Many of these processes can be assessed in vivo by means ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, and ...

Abstract: Heart-disease is one of the leading cause of death around the world, precaution is only if early detection. This research focuses on the development of a heart disease prediction system ...

Abstract: heart disease remains the leading cause of mortality worldwide, accounting for millions of deaths annually. Despite medical advancements, the early detection and accurate prediction of ...

Objectives: To explore the value of machine learning (ML) model in conjunction with HIV-specific risk factors to predict obstructive coronary artery disease (CAD) (≥50% stenosis) on coronary CT ...

The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable ...