MatchTxMatching Patients to Cancer Treatments
MatchTx changes the way cancer clinical trials are conducted. Our team of bioinformaticists has developed algorithms that create a personalized match between a novel treatment and those patients most likely to respond positively, making clinical trials faster, cheaper, and more effective.
The MatchTx technology is defined by a patent-pending method that combines genomic data and clinical outcome data in a single platform to match each individual patient to the best treatment using novel classification algorithms and a reference data set of genomic and outcome data.
Technology Developed at The Ohio State University
MatchTx’s Innovative classification technology to match patients with cancer treatments was developed by Dr. James Chen at The Ohio State University.