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Personalized behavioral healthcare

Spring uses AI to match patients to the best treatment for them. Right now, most depressed patients experiment with multiple drugs before finding one that works - itÕs generally a huge waste of time and money for patients, doctors, and insurance companies. While at Yale, we developed a machine-learning model that uses a 10 minute test to identify the treatment that will work best for a patient. Our peer-reviewed and published machine-learning algorithms are more accurate than more expensive genetic and biological precision medicine alternative and helps patients get better faster.

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