Research Focus Areas

Our research explores key areas at the intersection of healthcare and technology, from AI and wearable devices to precision medicine and population health, advancing innovation to improve patient outcomes.

AI for Diagnostics & Precision Medicine

Artificial intelligence is redefining how we diagnose and manage chronic diseases. By integrating data from electronic medical records, imaging, genomics and wearable devices, researchers are developing tools that detect early signs of illness and tailor treatments to each patient’s unique profile. Benefits of AI in health care:

  • Ability to focus on cardiometabolic diseases, aging and multimorbidity

  • Machine learning reveals patterns often missed by traditional diagnostics

  • Enables precision care for conditions like heart disease, diabetes, and stroke

  • Supports proactive, risk-based interventions through longitudinal data modeling

These approaches enhance accuracy, transparency and patient safety while also accelerating the discovery of new diagnostics and therapeutic strategies.

 

 

Opportunistic Imaging & Signal Fusion

Opportunistic imaging extracts more value from existing data using AI. When combined with real-time medical signals, this fusion enhances early detection and personalized care.

  • AI analyzes diverse signal types: imaging, audio and physiological data

  • Enables disease detection without requiring new or invasive tests

  • Pioneers emerging technologies such as photoacoustic imaging and miniaturized devices

  • Supports real-time diagnosis, therapy monitoring and treatment optimization

Together, these innovations push imaging beyond diagnosis toward fully integrated, intelligent care delivery.

 

 

Digital Therapeutics

Digital Therapeutics (DTx) are software-based medical interventions designed to treat, manage and prevent disease. Built on clinical evidence and rigorous validation, they combine behavioral science with technology to support patients anytime, anywhere.

  • Delivers therapy via mobile apps, wearables and digital platforms

  • Incorporates CBT, gamification and personalized coaching

  • Enhances adherence and engagement across chronic and mental health conditions

  • Provides clinicians data while reducing system burden and health care costs

DTx expands access to care, particularly in underserved populations, and supports long-term self-management of complex conditions.

 

Remote Monitoring using Wearables & Sensors

Wearables and biosensors are transforming care between visits by enabling continuous, real-time monitoring of vital health indicators. These technologies support early intervention, reduce readmissions, and give patients more control over their health.

  • Remotely tracks vitals, sleep, activity and symptoms

  • New materials enable flexible, ingestible and even biodegradable devices

  • Designed for long-term use and integration into daily life
  • Optimized via AI to detect deviations and alert care teams in real time

From hospital to home, these tools enable more proactive, personalized and preventative care models.

 

Exposome Modeling & Population Health

Exposome modeling looks beyond genetics to understand how environment, behavior and biology interact over a lifetime to influence health. This holistic approach is crucial for identifying hidden risk factors and health disparities at the population level.

  • Integrates air quality, diet, stress, socioeconomic status, inflammation and more

  • Combines “omics,” imaging, clinical and social data for richer insights

  • Builds predictive models for early intervention in high-risk communities
  • Supports personalized public health strategies and equity-focused care

By analyzing cumulative exposures, researchers are moving toward prevention-first health care at both individual and community levels.

 

Computational Biology & Real-World Modeling

Computational biology harnesses data and algorithms to simulate and analyze complex biological systems, turning raw data into actionable health care insights. It’s the backbone of precision medicine, drug discovery and advanced diagnostics.

  • Merges genetics, electronic health records, wearable data and imaging into holistic models

  • Accelerates drug development and repurposing through in silico trials

  • Identifies biomarkers for early disease detection and monitoring

  • Predicts disease progression and personalizes treatment strategies

This data-driven approach revolutionizes how we understand biology, improve care and drive innovation from the lab to the clinic.