Cardiogram, the HealthKit-enabled Apple Watch app powering an ongoing University of California, San Francisco heart study, received a major update on Thursday with support for native watchOS 2 operation, a new complication, 3D Touch support for iPhone 6s and a refreshed look.

With today's release Cardiogram hits version 1.0, one of many milestones developers Brandon Ballinger and Johnson Hsieh have reached as they work to refine an algorithm that may one day save lives. In collaboration with the UCSF Health eHeart study, the team at Cardiogram is investigating methods of detecting abnormal heart rhythms using off-the-shelf consumer smartwatches with heart rate sensors, like Apple Watch.

To that end, the latest Cardiogram release comes with a host of upgrades, the most apparent being a redesigned user interface. More importantly, however, the new version is a native watchOS 2 app, meaning users can track and view recorded heart rate data without tethering to an iPhone. Users also have at-a-glance access to their latest heart rate readings — Time Travel supported — thanks to a new Apple Watch complication.

The iPhone companion app has also been revamped to include detailed activity statistics showing heart rate trends, as well as a Metrics pane that integrates move, stand and exercise goals. Owners of Apple's iPhone 6s and 6s Plus have access to 3D Touch gestures for tagging heart rate peaks, a useful tool for chronicling and identifying potentially abnormal rhythms. Other enhancements include data sharing over social networks, pinch-to-zoom and general UI tweaks.

As a HealthKit app, Cardiogram shares user data with the mRhythm Study, a program that seeks to accurately detect atrial fibrillation, a medical condition that can lead to stroke, using readily accessible consumer grade hardware. An advanced machine learning algorithm developed by UCSF researchers and Cardiogram's software engineers processes the incoming data, gaining accuracy with each logged session.

The team notes anyone with an Apple Watch can take part in the study as the algorithm "learns" from users both with and without preexisting heart conditions. Since March 2016, the program has collected 700 million data points from Cardiogram users who open the app an average of five times per day.