AI-based computer model offers new weapon against hard-to-treat cancers
Researchers have developed a 'symbolic AI' model to predict effective treatments for triple-negative breast cancer by analyzing individual genetic fingerprints. Unlike traditional 'black box' AI, this model uses transparent logic to help clinicians make informed decisions.
Why it matters
This approach could improve survival rates for aggressive cancers by providing personalized, explainable treatment recommendations.
edited by Gaby Clark , reviewed by Robert Egan
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Add to Preferred Sources Credit: Unsplash/CC0 Public Domain In a new paper published in Cell Reports Medicine , the UCL team outlines how they, in collaboration with a University of Cambridge team, developed a new type of treatment-predicting computer program that uses an individual's detailed genetic fingerprint to explore which treatments, if any, may kill their cancer—especially when standard treatments have failed.
Computer models have long been used in cancer medicine, and more recently artificial intelligence has opened up a new avenue in this regard.
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