Precision Medicine Approach to Breast Cancer Detection and Diagnosis
Join the December NCI Imaging and Informatics Community webinar to learn how Dr. Martin Yaffe’s team is developing imaging tools and a multi-platform approach to improve breast cancer detection and diagnosis.
Though mammography is a widely used technique for screening, it can be less accurate when screening dense breast tissue. Guided by microsimulation modeling, a computational analysis method that allows researchers to run different simulations for individual cases, Dr. Yaffe’s laboratory can develop more effective detection models that better adapt to the patient.
Furthermore, Dr. Yaffe’s team is exploring how to integrate this data with histopathology, single-cell multiplex biomarker analysis, and targeted molecular sequencing to better characterize cancer, its immune environment, and spatial heterogeneity.
This event is free and open to the public.
Dr. Yaffe is a medical physicist who leads a 23-member research lab at the Sunnybrook Research Institute in Toronto, Canada. He is also a senior scientist in physical science and a professor of medical biophysics at the University of Toronto.
Upcoming Events
- Assessing the Tumor Microenvironment with Systems Immunology: Computational Science in Immuno-oncologyAugust 21, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer ResearchSeptember 30, 2025 - October 01, 2025Childhood Cancer Data Initiative (CCDI) Symposium 2025October 06, 2025 - October 07, 2025Eleventh Computational Approaches for Cancer Workshop 2025 (CAFCW25)November 17, 2025