Developing Safe AI Models for Clinical and Multi-institutional Research Studies
Data Science Seminar Series
September 3, 2025 | 11:00 AM – 12:00 PM
Online
Join Dr. Harini Veeraraghavan share approaches and use cases for developing safe AI in clinical and multi-institutional research studies.
She will cover:
- how to approach model training with novel approaches and architectures, such leveraging large scale pretraining with unlabeled medical data sets,
- how to evaluate, diagnose, and assess when predictions should not be trusted, using metrics and patient specific digital twin simulations
- what use cases demonstrate these approaches, including tumor segmentation and response assessment, radiotherapy toxicity prediction, and longitudinal dose accumulation for adaptive radiation treatments.
About the Speaker
Harini Veeraraghavan, Ph.D.
Dr. Harini Veeraraghavan is an associate attending computer scientist in the Department of Medical Physics at Memorial Sloan Kettering Cancer Center, where she directs the AI for Image Guided Therapies Lab. Her research focuses on developing artificial intelligence (AI) methods for personalized cancer treatment, including automated radiotherapy planning and treatment response monitoring for lung, rectal, and gynecologic cancers.
About the Data Science Seminar Series
The CBIIT Data Science Seminar Series is dedicating its 2026 events to spotlighting the use of AI in cancer research and care. Brought to you by CBIIT and NCI’s Division of Cancer Treatment and Diagnosis AI working group, the upcoming webinars will explore a variety of questions, such as the following:
- How can AI be used for diagnosis, treatment, diagnosis, or omics research?
- What are the related laws and ethical considerations for AI?
- How can we empower an AI-ready cancer research community through workforce development, collaborations, and funding?
To view upcoming speakers or recordings of past presentations, visit the Data Science Seminar Series page.