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 ...

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

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

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 ...

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 ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - is one of the fundamental causes of diabetes. In addition to diabetes, it is ...

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 ...

Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...

When a patient is diagnosed with osteosarcoma, an aggressive form of bone cancer, the mission is to remove the tumor entirely ...

Eligible studies used AI models on histopathological images for molecular classification of adult-type gliomas and reported performance metrics. Study selection, data extraction, and risk of bias ...