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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

Orlando, US, February 10th, 2026, FinanceWireSMA Marketing announced the development of a new machine-learning–driven ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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