A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...

IISc’s Centre for Brain Research has announced the six-month programme in partnership with Alzheimer’s Disease Data ...

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

CerraCap Ventures investment in Nephronomics reflects strategic conviction of backing platforms that transform fragmented ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

The findings come after 18 months of building AI-assisted workflows directly into the agency's core operations. Unlike ...

Peer-reviewed study confirming strong predictive performance of patient-specific lung digital twins, validated against ...