Clusterability and granularity; Digital Pathology
Presentation at 11:00am by invited speaker, Dr Joel Saltz (Praful’s GPP co-advisor)

9:30-10:30 - Journal Club

EpiVECS: exploring spatiotemporal epidemiological data using cluster embedding and interactive visualization

Nature Scientific Reports volume 13, Article number: 21193 (2023)
Lee Mason, Blànaid Hicks & Jonas S. Almeida

[podcast]

Sparse clusterability: testing for cluster structure in high dimensions

BMC Bioinformatics. 2023 Mar 31;24(1)
Jose Laborde, Paul A Stewart, Zhihua Chen, Yian A Chen, Naomi C Brownstein

[podcast] <-- is their gold in the mountain, before starting digging 

Spatial Decriptive Statistics 

https://en.wikipedia.org/wiki/Hopkins_statistic 

https://en.wikipedia.org/wiki/Spatial_descriptive_statistics 

(30 min break to set room 3W032/034 and start WebEx)

11:00-12:00
Joel Saltz -invited presentation

The Role of Pathology AI in Translational Cancer Research and Education

Hybrid

NCI Shady Grove Campus (9609 Medical Center Drive, Rockville, MD 20850), Room 3W032/034

Virtual attendance via Webex

Register/Join

Learn how digital pathology is rapidly transforming cancer research through AI-driven analysis of whole slide images.
Join Stony Brook University’s Dr. Joel Saltz as he discusses:

• the role of pathology AI in the creation of pathology imaging biomarkers, including tumor infiltrating lymphocytes and prediction of molecular cancer sub-classification and molecular risk of recurrence assessments.

• methods he and his group are developing to improve interpretability of AI models.

• new methods he and his group have developed for generating highly realistic, multi-scale, synthetic pathology images using novel conditional latent diffusion

• methods for a variety of downstream tasks, including data augmentation for supervised and unsupervised model training, segmentation, as well as for training and education.

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:

Joel Saltz, M.D., Ph.D.

Dr. Saltz is Chair and Distinguished Professor of Biomedical Informatics at Stony Brook University. He has an extensive research track record in pathology AI, high end computing research, and clinical informatics. He is a boarded clinical pathologist and clinical informatician. He has an M.D.-Ph.D. in computer science from Duke University and residency training from Johns Hopkins University.