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

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

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

Incorporating marble dust and polypropylene fibers in concrete boosts strength and durability, highlighting the role of ...

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

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Worcester Polytechnic Institute (WPI) researchers have identified a promising tool for early detection of Alzheimer's disease using machine learning and brain scans to predict the disease with nearly ...

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

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...