Health[at]Scale, a San Jose, Calif.-based startup developing machine learning solutions for precision medicine, has raised $16 million in a Series A funding round, with UnitedHealth Group's Optum as the sole investor, TechCrunch reports.
The company's technology, created by scientists from institutions such as MIT, Harvard and Stanford, uses artificial intelligence to match patients with providers who can deliver the most effective treatments. The goal of the system is not only to enable precision treatments for patients, but also, in doing so, to lower overall healthcare costs by reducing the need for readmissions and other avoidable post-operative care.
Health[at]Scale's clients include hospital systems, insurers and self-insured employers, though they declined to name any specific users to TechCrunch. Optum's funding will go toward increased sales and marketing to recruit more clients.
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