Here, we review recent advances in the use of big data and machine-learning approaches toward the aim of alleviating the suffering that arises from psychiatric disorders.
We’ve analyzed real world data from thousands of patients and hundreds of doctors.
Each time an employee completes our assessment, we use this data to pinpoint the exact treatment plan that will help him or her feel better, faster.
30% chance of successful 1st treatment
60% chance of successful 1st treatment
Eliminating trial-and-error in mental healthcare
It can take a long time to get correctly diagnosed, see the right provider, and find the appropriate medication.
Our approach is proven to eliminate costly trial-and-error–and most importantly, increase recovery rates.
The science behind Spring Health
Spring Health isn’t just based on science — we’re built from it. Our technology has been clinically
validated in over 30 peer-reviewed papers in the world’s top medical journals and our approach has
been endorsed by the American Psychiatric Association.
Current Opinion in Neurobiology
Adam Mourad Chekroud, Ioana Alina Cristea
A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and Depression
Adam Mourad Chekroud
Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk
Yanqing Tang, Qian Zhou, Miao Chang, Adam Chekroud, Ralitza Gueorguieva, Xiaowei Jiang, Yifang Zhou, George He, Margaret Rowland, Dahai Wang, Shinan Fu, Zhiyang Yin, Haixia Leng, Shengnan Wei, Ke Xu, Fei Wang, John H Krystal, Naomi R Driesen
Reading the (functional) writing on the (structural) wall: multimodal fusion of brain structural and function via a deep neural network based translation approach reveals novel …
Md Faijul Amin, Sergey M Plis, Adam Chekroud, Devon Hjelm, Eswar Damaraju, Hyo Jong Lee, Juan R Bustillo, KyungHyun Cho, Godfrey D Pearlson, Vince D Calhoun