Maxeler Technologies Licenses Healthcare Technologies
Summary
Traditional approaches transform and “flatten” electronic health records into vector representations that ignore medical event temporal relationships, reducing prediction accuracy. “Our goal is to develop a model to process electronic medical records relying on proven, scalable, data-mining techniques, yielding a nearly real-time, personalized, clinically explainable drug prediction approach,” says Oskar Mencer, CEO of Maxeler Technologies. Using the patent-pending, technology developed at Georgetown’s Information Retrieval Laboratory under Professor Ophir Frieder, Maxeler intends to work with the researchers at Georgetown to productize scalable, patient-specific, prescription selectors, reducing drug resistance, thereby improving patient care. The products are expected to address domestic and international markets.Maxeler intends to propose using medical records from a national health service to start adapting the research models to real-world data. “Our goal is to develop a model to process electronic medical records relying on proven, scalable, data-mining techniques, yielding a nearly real-time, personalized, clinically explainable drug prediction approach,” says Oskar Mencer, CEO of Maxeler Technologies.
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