AI Predicts Bladder Cancer Treatment
This is a Bishoy Faltas news story, published by ScienceDaily, that relates primarily to Fei Wang news.
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bladder cancer treatmentScienceDaily
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AI meets oncology: New model personalizes bladder cancer treatment
81% Informative
Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.
The model harnesses whole-slide tumor imaging data and gene expression analyses in a way that outperforms previous models using a single data type.
The ability to accurately anticipate how an individual will react to the standard-of-care therapy may help doctors personalize treatment.
Fei Wang and Bishoy Faltas will work on validating their findings in other clinical trial cohorts.
They are open to extending their collaboration to determine whether their model can predict therapeutic response in a broader population of patients.
"The dream is that patients would walk into my office, and I could integrate all of their data into the AI framework and give them a score that predicts how they would respond to a particular therapy," Dr. Wang said.
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