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 Series
The CBIIT Data Science Seminar Series is dedicating its 2025 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?
Speaker
Harini Veeraraghavan, Ph.D.,
Associate Member, Medical Physics Department, Memorial Sloan Kettering Cancer Center