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Machine Intelligence for Precision Care Delivery

Machine Intelligence for Precision Care Delivery

HEALTH[at]SCALE is a rapidly growing post-Series A Silicon Valley-based healthcare machine intelligence startup founded by machine learning and clinical faculty with strong ties to MIT, Stanford, Harvard and U-Michigan. The company was one of Forbes’ “25 Machine Learning Startups to Watch” for 2019. Our mission is to bring precision delivery to healthcare through cutting-edge machine learning and artificial intelligence that can predictively match the world's patients to the right treatments by the right providers at the right times. HEALTH[at]SCALE's machine intelligence platform and applications for care prediction are among the largest deployments to date of machine learning technologies for healthcare; helping leading organizations manage tens of millions of individuals in live production use. The company's software solutions service a broad range of use cases for managed care, accountable care and self-insured organizations, including: early targeted prediction and prevention of adverse outcomes, optimizing care planning and guiding effective treatment; refining and navigating provider networks; and reducing fraud, waste and abuse. For more information, please visit healthatscale.com.

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HEALTH[at]SCALE and Stanford University • Previously: U-Michigan (Faculty) and Google/Google[X], Oracle (Engineer) • Education: MIT EECS and Harvard Med School.