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Andrew Loza Receives Poster Award at CTSA Meeting

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Andrew Loza, MD, PhD, has been recognized with a poster award at the 2025 Clinical and Translational Science Awards (CTSA) meeting for his innovative work on medical foundation models to accelerate clinical and translational research.

This achievement represents a collaborative departmental effort to create a suite of medical event foundation models that enable clinical and translational researchers across Yale School of Medicine—even those without computational backgrounds—to leverage cutting-edge methods for their research.

Medical event foundation models adapt the Artificial Intelligence methods used by Large Language Models to learn the language of longitudinal clinical data. These models have the potential to improve our ability to leverage real world data and accelerate research through more accurate predictions and treatment effect estimation.

Andrew Loza, MD, PhD
Instructor of Biomedical Informatics and Data Science

Dr. Loza's award-winning poster, "A Hub Initiative to Develop Medical Foundation Models for Clinical and Translational Research," presents a three-stage unified informatics platform that supports data curation, model training optimization, and accessible tools for simulating patient trajectories, conducting target trial studies, and generating patient embeddings. These models predict sequences of clinical observations and the passage of time in longitudinal patient health records, outperforming classical machine learning approaches without requiring task-specific training. Congratulations to Dr. Loza and all team members who contributed to this work.

View the Award-Winning Poster

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