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.
- Headquarters New York City
- Specialties Machine Learning, Healthcare
- Sports & Entertainment |
- 0 Case Studies
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