When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

Researchers have developed an AI image generator that produces images in just four steps, rather than dozens.

Imaging studies of more than 27,000 adults link a healthier thymus on CT scans with a longer life and lower risks of ...

A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...