The ResearchKit-based study launches in partnership with Stanford to identify irregular heart rhythms.
Called MyGeneRank, the app allows users with genetic data from 23andMe to obtain an estimated genetic risk score for coronary artery disease.
There is also a new video instruction step that makes it easier for developers to display rich video content to users within their apps.
BiAffect can monitor mobile device usage, including keyboard typing speed, to predict manic and depressive episodes in people with bipolar disorder.
The two parties aim to use digital health technology to help people with chronic pain decrease their use of pain medication.
The study will use WebMD's newly redesigned Pregnancy app for iPhone, enabling participants to easily answer questions and share connected device data.
Stress was the most common trigger, linked to 37% of seizures, followed by lack of sleep (18%), menstruation (12%) and overexertion (11%).
The app supplies links to disease information and advocacy groups, and directs patients to specialists in their area based on their phone's GPS.
The updated app includes the Stanford Coaching Module, which includes personalized coaching that varies for each user, depending on his or her activity profile.
The Mind Share study aims to assess how factors like lifestyle, medical history, and behavior affect cognitive function in people with Alzheimer's disease.