Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

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

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

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.

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

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

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

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

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