When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...
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 ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.
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AI cancer tools may be using visual shortcuts rather than true biology
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...
Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of ...
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Researchers develop versatile machine learning tool to automate complex clinical diagnostics
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.
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
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