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Research Projects

CURRENT PROJECTS

Assessing Sleep

Assessing Sleep

Getting a good night’s sleep is essential for both physical and mental health, but it is hard to quantify the quality of sleep.

Mood and Sleep Disorders Mood & Sleep Disorders mHealth
Berkeley: Sensing in Rehabilitation Centers

Berkeley: Sensing in Rehabilitation Centers

The Center for SMART Health developed a low-cost (<$300) and easy-to-install integrated “smart system” to remotely assess elderly patients during inpatient rehabilitation.

Rehabilitation Rehabilitation
COVIDCompare.io: Global COVID-19 Mortality Forecasting

COVIDCompare.io: Global COVID-19 Mortality Forecasting

COVID-19 forecasting models are currently very influential, as they are used as a key input into policy decisions at the local,

COVID-19 COVID-19
Deploying Universal Consent & Return of Results

Deploying Universal Consent & Return of Results

New biomarker identification entails sampling from sufficiently large and diverse populations through which we can understand the significance of a given characteristic (e.g.,

Precision Health Precision Health Highlighted
Detecting Cognitive Changes

Detecting Cognitive Changes

Can we automatically detect changes in speech to detect cognitive changes? The Center for SMART Health is helping to develop and test digital technologies for cognitive testing in the context of benzo/z-drug tapering/insomnia treatment.

Mood and Sleep Disorders Mood & Sleep Disorders Machine Learning Digital Health
Detecting Health Problems Earlier

Detecting Health Problems Earlier

Multiple physical and disease morbidities are known to confer risk for early mortality, greater symptom burden, and higher healthcare costs.

mHealth Population Health Population Health
Enhancing Lung Cancer Screening

Enhancing Lung Cancer Screening

Lung cancer is the leading cause of cancer-related mortality in the United States and globally. A key issue has been that lung cancer diagnosis often occurs quite late and in its advanced stages,

Cancer Machine Learning Cancer
Helping the Elderly Regain Independence

Helping the Elderly Regain Independence

The Center for SMART Health is harnessing a wide range of wearable technologies to provide sophisticated, continuous physical activity tracking methods and objective assessment,

mHealth Rehabilitation Rehabilitation Highlighted
Improving Breast Screening

Improving Breast Screening

Can we provide better, individualized recommendations for screening? Guidelines for mammography indicate annual screening for most women, providing a “one-size-fits-all” approach to the detection of breast cancer.

Precision Health Precision Health Cancer Cancer
Improving Colon Cancer Screening

Improving Colon Cancer Screening

Colorectal cancer (CRC) is the second most common cause of cancer-related mortality, killing over 50,000 Americans each year – a number that is unwarranted as it many of these cases are preventable via screening and surveillance of high-risk abnormalities.

Machine Learning Cancer Gastroenterology Gastroenterology Cancer
Inflammatory Bowel Disease

Inflammatory Bowel Disease

In 2015, it was estimated that inflammatory bowel disease (IBD) affected over 3 million individuals in the United States, resulting more than $6 billion in associated healthcare-related costs.

Gastroenterology Gastroenterology
Integrating Pros into the EHR

Integrating Pros into the EHR

Patient-reported outcomes (PROs) are well-established in the context of clinical trials, providing important assessment of the individual during an intervention/study.

Infrastructure Cancer Cancer
Large-scale Rehabilitation Center Sensing

Large-scale Rehabilitation Center Sensing

Building on our Berkley East project, The Center for SMART Health has extended its smart sensing infrastructure to one of the largest physical medicine and rehabilitation hospitals on the West Coast. 

Rehabilitation Rehabilitation
Monitoring Febrile Neutropenia

Monitoring Febrile Neutropenia

Within the past several years, various consumer-level devices have been brought to market to provide real-time feedback about changes in patients’ status,

mHealth Cancer Cancer
Predicting Chronic Kidney Disease

Predicting Chronic Kidney Disease

In partnership with UCLA’s Faculty Practice Group (FPG), we are looking to better identify individuals within our healthcare enterprise who are at risk for worsening kidney function.

Machine Learning Population Health Population Health
Predicting Future Hospitalizations

Predicting Future Hospitalizations

Some patient visits, either to the emergency room (ER) or in-patient admissions, could be prevented through timely outpatient interventions by healthcare providers.

Population Health Population Health Highlighted Machine Learning
Remote Monitoring of COVID-19 Symptoms

Remote Monitoring of COVID-19 Symptoms

With increased COVID-19 testing and the detection of more positive cases (COVID+), many “at-risk” individuals who appear asymptomatic or only with mild symptoms are being told to self-quarantine at home.

mHealth Machine Learning COVID-19 COVID-19 Highlighted
Understanding COVID-19 Risk Perception and Behaviors

Understanding COVID-19 Risk Perception and Behaviors

Effective prevention of COVID-19’s spread is strongly predicated on adherence of the population to recommendations of health professionals. It is therefore critical that we identify the factors that contribute to an individual’s health decision-making with respect to adherence to the recommendations.

Cancer COVID-19 COVID-19 Cancer
Understanding Depression & Anxiety

Understanding Depression & Anxiety

Depression affects an astounding 300 million people worldwide and one of society’s biggest problems – yet it is poorly understood.

Mood and Sleep Disorders Mood & Sleep Disorders mHealth Machine Learning Infrastructure Highlighted
Understanding Obesity

Understanding Obesity

The prevalence of obesity and its consequent comorbidities continues to rise globally. Markedly, in the United States it is a major cause of preventable chronic disease and thus a source of significant healthcare costs.

mHealth Gastroenterology Gastroenterology
Understanding Pediatric Asthma

Understanding Pediatric Asthma

Pediatric asthma presently affects over 6 million children in the United States. As the most common chronic childhood disease, uncontrolled asthma results in numerous hospitalizations annually and is a significant burden on both the child and caregivers resulting in a lower quality of life (e.g.,

Precision Health Precision Health mHealth

RESEARCH NEWS

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

LOS ANGELES,

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