Integrating clinical data with patient insights, this model improves risk prediction for urgent care visits in lung cancer patients undergoing systemic therapy.

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

From CASP to the Virtual Cell Challenge, researchers are leveraging science competitions and high-risk, high-reward grants to ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

Neurodegenerative diseases—such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS—are progressive disorders characterized by the loss of structure and ...

Discover how AI and data science are revolutionizing sports, from predicting wins to preventing injuries, in ways coaches can actually use.

This article explores the science behind emerging 3D pregnancy scans and what the future holds for preventing pregnancy ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

A large language model called Delphi-2M analyzes a person’s medical records and lifestyle to provide risk estimates for more ...

An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...

A modified large language model called Delphi-2M analyses a person’s medical records and lifestyle to provide risk estimates ...