Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Integrating male sex, RBBB, and haemoglobin and glucose levels into the HEART score improves its ability to predict significant coronary artery disease on CCTA in the emergency department setting.

By Tarun Sai Lomte A new AI-driven diagnostic framework combines clinical, genetic, and phenotypic data to help shorten the ...

Delphi-2M was trained on the world's most comprehensive biomedical database with health information from over 400,000 people.

DNA methylation-derived biomarkers called Protein EpiScores may improve the accuracy of disease-free and overall survival prediction in patients with colorectal cancer (CRC), compared with traditional ...

The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.