AI harnesses tumor genetics to predict treatment response

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Scientists at University of California San Diego School of Medicine used a machine learning algorithm to predict when cancer will resist chemotherapy. 

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Topline results from a pooled clinical study show that Mainz Biomed’s portfolio of proprietary novel gene expression (mRNA) biomarkers can be used in a next generation version of the company’s colorectal cancer screening tool. The study included new patients and subjects from Mainz Biomed’s ColoFuture (Europe) and eAArly DETECT (U.S.) clinical trials. The topline results confirm the positive efficacy results previously reported with a sensitivity for colorectal cancer of 92% with a specificity of 90% and a sensitivity for advanced adenoma of 82%, the company said.

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