
GenPhenia: using deep neural networks to accelerate rare-disease diagnosis
By combining graph neural networks with language models, researchers have closed the gap between messy clinical symptoms and hard genetic data.
Discover the newest research about AI innovations in Research.

By combining graph neural networks with language models, researchers have closed the gap between messy clinical symptoms and hard genetic data.

Elite cancer centers are finally trading exclusive data for global scale, shifting the balance of power in precision medicine.

A new partnership aims to bring precision medicine to a disease long starved of reliable biomarkers.

Hospitals cannot share patient records, but a new federated framework allows AI models to learn from clinical notes across institutions without moving a single byte of raw data.

A newly launched video game prescription signals a massive shift in how conservative medical systems handle pediatric mental health.

A new deep learning model successfully flags unstable brain aneurysms across different hospitals, proving that AI can read subtle blood vessel walls without losing accuracy outside its training ground.

Hospital wards are tangled in cords, but cutting the wires requires passing the world’s toughest medical device standards.

A new proteomic analysis reveals why Parkinson’s drug trials keep failing despite using biologically pure patient groups.

A massive funding round reveals how independent physicians are using artificial intelligence to survive the shift to risk-based Medicare contracts.

A new artificial intelligence model outperforms existing tools in spotting tiny cancer deposits in lymph nodes across multiple cancer types.