A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Researchers mapped 442,239 single nuclei from nonfailing human hearts to chart how cardiac cells change from fetal ...

We kindly thank our patients and their caregivers for participating in this study. Jannik Prasuhn gratefully acknowledges support from the Thiemann Foundation. The National Institutes of Health ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

UC San Diego researchers combined artificial intelligence with molecular biology to unravel how immune cells in the gut decide between inflammation and healing, a process gone awry in Crohn’s disease.

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Replicating the intricate hierarchical architecture of natural vascular networks, especially at capillary-scale resolution, remains a pivotal challenge in organ fabrication. Here we present a machine ...

WASHINGTON, May 28 (Reuters) - U.S. forces deployed to war zones have been targeted using commercially available location data, according to reports fielded by military officials, an illustration of ...