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The Center for SMART Health is home to a number of ongoing translational projects that focus on the design, evaluation, and translation of new digital health technologies. Through active partnerships with academia, industry, and health systems, we help bring new technologies to life in the challenging and dynamic environment of healthcare. Our objective isn’t to just produce a research paper – it’s to make research real and to help make lives better through better, reproducible science and policy that acknowledges the many challenges and works to find solutions. You can find out more about the Center’s current project areas below.


Stanford Medicine Named Winner of the 2023 Hearst Health Prize

2023 Hearst Health Prize in Partnership with the UCLA Center for SMART Health $100,000 prize awarded for Stanford Medicine’s AI solution for identifying people with heart attack risk The 2023 Hearst Health Prize winner from Stanford Medicine and leadership from the UCLA Center for SMART Health and Hearst Health,

Research News

Hearst Health Prize Judges to Headline Panel Discussion at UCLA Health Data Day

UCLA Center for SMART Health convenes national experts to address key issues in healthcare data science


Research News

2nd Annual Center for SMART Health Symposium

We are pleased to be partnering with the UCLA Office for Health Informatics Analytics (OHIA) on May 11, 2023, showcasing advancements and applications of data science in clinical care.

Research News



Consumer devices and cutting-edge mobile technologies are changing how we understand mood, behavior, and the importance of sleep.


As genomic, imaging, mHealth, and other biomarkers emerge, new strategies are needed to individually-tailored healthcare delivery.


With the COVID-19 pandemic unfolding, methods to understand its progression and encourage healthy behaviors are required.


With an increasing elderly population, ways to both routinely and unobtrusively assess physical motion and daily activities are increasingly important.


Working with experts in GI-related diseases, we are helping to develop and test a range of mobile health and informatics-based approaches.


Increasing volumes of health-related data provide an opportunity to create better models for screening, diagnosis, and treatment selection.


Cancer is the second leading cause of death in the US. We’re helping to translate new technologies and methods to enhance cancer screening, diagnosis, and treatment.