Spring Health

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Spring Health screens patients for depression in provider waiting rooms and matches patients with the most effective treatment for them, through a 10-minute questionnaire on an iPad. In doing so, Spring eliminates the standard trial-and-error process of prescribing antidepressants that is costly, long, and difficult for the patient to endure and saves insurers the steep costs of treating depression. [1] [2]

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Their published machine-learning algorithms represent the first time machine-learning has been successfully used to predict treatment outcomes in depression using exclusively self-reportable data. [1]

The team is April Koh, a 2016 Yale University graduate, Adam Chekroud Yale PhD ‘20, Chief Scientist, and Abhishek Chandra a 2016 Yale University, serving as CTO.

Spring was part of the Yale Entrepreneurial Institute. [2]

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