Lab profile
About Center for SMART Health
The Center is dedicated to the integrated transformation of healthcare through emergent data and technologies, focusing on digital health technologies and data-driven analyses. It addresses technical development, validation, and translation of ideas into real-world tools, while also examining clinical, social, and economic policy implications. The Center supports patient-centered and community-based translational research using mHealth, innovative recruitment, and AI in medicine to inform public policy and health issues.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Assessing SleepDeveloping new sensors and methods to easily assess sleep patterns at home, including automated ways to detect sleep/wake cycles.
- Berkeley: Sensing in Rehabilitation CentersDeveloped a low-cost integrated smart system to remotely assess elderly patients during inpatient rehabilitation.
- COVIDCompare.io: Global COVID-19 Mortality ForecastingCOVID-19 forecasting models used as key input into policy decisions at the local level.
- Deploying Universal Consent & Return of ResultsTesting new technologies for consenting patients across the lifespan to ensure clinical research is representative of the population.
- Detecting Cognitive ChangesDeveloping and testing digital technologies for cognitive testing in the context of benzo/z-drug tapering/insomnia treatment.
- Predicting Future HospitalizationsIdentifying patient visits to the emergency room or in-patient admissions that could be prevented through timely outpatient interventions.
- Helping the Elderly Regain IndependenceHarnessing wearable technologies to provide continuous physical activity tracking and objective assessment for elderly patients.
- Remote Monitoring of COVID-19 SymptomsMonitoring at-risk COVID+ individuals who are self-quarantining at home with asymptomatic or mild symptoms.
- Understanding Depression & AnxietyStudying how mHealth can help improve knowledge and management of clinical depression using sensor technology.
- Enhancing Lung Cancer ScreeningAddressing the issue of late-stage lung cancer diagnosis through improved screening methods.
- Improving Breast ScreeningProviding better, individualized recommendations for mammography screening beyond one-size-fits-all approaches.
- Improving Colon Cancer ScreeningEnhancing screening and surveillance of high-risk abnormalities to prevent colorectal cancer mortality.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Improving drug identification in overdose death surveillance by using clinical natural language processing models.Journal of forensic sciences · 2026
- Germline Pathogenic Variants Among Women Without a History of Breast Cancer: A Secondary Analysis of the WISDOM Randomized Clinical Trial.JAMA internal medicine · 2026
- MedPromptEval: A Comprehensive Framework for Systematic Evaluation of Clinical Question Answering Systems.Studies in health technology and informatics · 2025
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- 2nd Annual Center for SMART Health SymposiumEventMay 11, 2023 · smarthealth.ucla.edu
- Hearst Health Prize Judges to Headline Panel Discussion at UCLA Health Data DayEventsmarthealth.ucla.edu
- Stanford Medicine Named Winner of the 2023 Hearst Health PrizeAwardsmarthealth.ucla.edu
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.