Medable announced Cerebrum touting it as the “first cloud-based machine learning solution created specifically for healthcare apps.”

The solution leverages data gathering smartphones with a first-of-its-kind machine learning engine, resulting in health events becoming more easily predicted, such as warning an elderly relative when he is at greatest risk of a fall, or preventing an asthmatic child from triggering a life threatening episode.

Cerebrum can be used with Apple HealthKit, CareKit and other mobile platforms to more effectively learn and treat digital signatures of health and disease.

“We can now turn health data into deliverables,” Michelle Longmire, MD, Medable’s CEO, said in a statement. “With Cerebrum’s advanced artificial intelligence solution, we are identifying novel signatures of disease status, and creating predictive models that will make the world healthier.”

Cerebrum provides machine learning across the ecosystem of clinical study data, including standard clinical instruments and patient reported outcomes data, meta-data from mobile devices, connected devices, and genomic and epigenomic data. It has the ability to automate the identification of high-value predictors and provide rapid generation of novel insights.

Health companies and researchers have struggled with return on investment (ROI) issues related to Big Data. Cerebrum can help them gain a much better understanding of their data through text classification and mining, emotion/behavior analysis, tagging, and other health-specific features.