Domain-adapted models trained on CLL plus lymphoma data outperformed CLL-only models and CLL-IPI, with best random forest ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

Researchers developed a machine learning model that analyzes 3D CT scans to identify anatomy, predict diagnosis codes, and ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

Research from the University of Warwick suggests that many AI systems may be using visual shortcuts rather than true biology, ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...