Intelligent Futures Research Lab
The goal of the Intelligent Futures Research Lab, led by Emre Sezgin, PhD, is to build a healthier future for all children and families using intelligent methods and approaches to scientific research and development.
The lab goes beyond the digital to engage with humans and technologies. The lab aims to improve health outcomes by developing novel ideas to observe behaviors following ethical and equitable practices. Collaborating with providers, interdisciplinary researchers, families, and community and industry partners across the nation allows the Intelligent Futures Research Lab to maximize its impact.
Focus Areas
- Developing digital health tools, methods, and multimodal systems, including mobile apps, wearables, voice assistants, chatbots.
- Considering behavioral theories and approaches to improve the health of individuals and the population, with an emphasis on those who are underserved.
- Using consumer-grade sensors on mobile devices to characterize and quantify health conditions and create digital biomarkers and endpoints.
- Leveraging artificial intelligence (AI) and machine learning (ML) with multiple health data sources (clinical medical records, patient-generated health data and personal medical records) to predict outcomes, build preventative mechanisms and improve decision-making processes for families and providers.
- Experimenting with cutting-edge technologies and methods such as augmented reality (AR), virtual reality (VR), mixed reality (MR) and extended reality (XR) technologies, digital twin concepts and generative AI methods to envision the future in healthcare.
Current Research
- Using NLP methods and predictive algorithms with patient-generated health data and free-text notes to identify patient health conditions, visualize data and support clinical decision making through integration with electronic medical records.
- Developing and testing mobile apps and conversational AI (via voice assistants and chatbots) to communicate with families of children with chronic conditions to understand social needs, support medical adherence and improve the tracking of healthcare activities at home for self-management and remote care.
- Using sensors (wearable, mobile and environmental) to characterize and quantify patient behavior and build behavioral health intervention mechanisms.
Learn More About the Intelligent Futures Research Lab
Get updates on our research and open positions:
Click here to view current openings in the Center for Biobehavioral Health.