How precision phenotyping algorithms in ENACT can help create highly specific research cohorts for complex chronic conditions

The UCLA Clinical and Translational Science Institute invites the research community to join for the ENACT Grand Rounds, a monthly seminar series hosted by the ENACT Network, a collaborative initiative within the CTSA program that empowers researchers to leverage real-world data (RWD) and generate real-world evidence (RWE). The ENACT Network connects researchers with cutting-edge tools, resources, and expertise, enabling innovative approaches to solving translational science challenges. By promoting Open Science and Data Sharing, ENACT fosters collaboration and accelerates the advancement of scientific discovery and translational research.

With AI advancements and increased computing power, electronic phenotyping is evolving into precision phenotyping, which uses EHR data to define personalized phenotypes. The ENACT network supports this shift with interoperable informatics for distributed learning and algorithm deployment. This presentation explores how precision phenotyping algorithms in ENACT can be used to create highly specific research cohorts for complex chronic conditions. By integrating algorithmic precision and collaborative infrastructure, this approach offers new avenues for targeted clinical studies and advances in translational research. 

Hossein Estiri, PhD, leads the Clinical Augmented Intelligence Group (CLAI) and serves as the Head of AI Research at the Center for AI and Biomedical Informatics of the Learning Healthcare System (CAIBILS) at Mass General Brigham. Dr. Estiri’s research focuses on modeling complex phenotypes from EHRs to advance precision medicine by uncovering nuanced patterns in clinical data and improving phenotyping and cohort discovery. Hossein Estiri, PhD – Harvard Center for Population and Development Studies

About the seminars
Expert speakers from across the CTSA Consortium and beyond will guide discussions on a range of impactful topics, including:

• Tools for data management, integration, and visualization
• Advanced analytics such as machine learning and natural language processing
• Clinical decision support, behavioral intervention technologies, and next-gen clinical trial platforms
• Data security, quality assurance methods, and standards development

See more at Introducing the ENACT Grand Rounds.

Date: April 28th, 2025 
Time: 12:00PM PST / 3:00 PM EST
Location: Via Zoom 

Register Now! https://pitt.zoom.us/meeting/register/Men9b489SJ2ZfaWJ_Katmw#/registration