Title: RST DLMP Grand Rounds LymphoVision, BloodBytes, and Beyond: Foundation Models for Precision Medicine in Blood Cancers June 3, 2026

Presenters: Jansen Seheult, M.D., M.B., B.Ch., B.A.O., Wenchao Han, Ph.D.

Learning Objectives - after this presentation, participants should be able to: 

1. Describe the unique computational pathology challenges posed by hematologic malignancies, including morphologic heterogeneity, multi-compartment disease biology, and multimodal diagnostic workflows.
2. Explain how self-supervised, disease-specialized vision encoders trained on large lymphoma and bone marrow cohorts can capture tissue architecture, spatial arrangement, and cellular morphology.
3. Evaluate how multimodal AI models integrating pathology images with laboratory and clinical data can support diagnosis, molecular subtyping, prognosis, and treatment-response prediction in blood cancers.

ATTENDANCE / CREDIT

Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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