Pathology – Forum, April 16, 2021

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for a networking opportunity

Monthly Virtual Forum Series on Zoom

Friday, April 16, 2021
3:30 to 5:30 p.m. EDT

Dr. David Berman, a pathologist, discussed unmet clinical needs in pathology machine learning followed by two researchers, Dr. Ali Bashasati and Dr. Chetan Srinidhi, describing their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.

Monthly Virtual Forum Series on Zoom

Friday, April 16, 2021
3:30 to 5:30 p.m. EDT

Dr. David Berman, a pathologist, discussed unmet clinical needs in pathology machine learning followed by two researchers, Dr. Ali Bashasati and Dr. Chetan Srinidhi, describing their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.

David Berman

Cancer Grading in diagnostic surgical pathology: An unknown quantity

David Berman, MD, PhD
Professor, Queen’s Cancer Research Institute
Talk summary:  I described current qualitative approaches to cancer grading.  Focused on bladder cancer as an example, I highlighted the potential opportunity to improve patient care by implementing quantitative image analysis in the clinical realm

Ali Bashashati

Revisiting Histopathology by AI: Progress and Outlook

Ali Bashashati, PhD
Director of AI Research, OVCARE, BC Cancer/VCHRI
Assistant Professor, University of British Columbia
Talk summary: AI applied to image analysis, fueled by the increased capacity of digitizing the pathology slides, offers the opportunity to objectively revisit the rich amount of information in tumor morphology. In this presentation, I highlighted the application of AI in digital pathology and how AI could be employed to accelerate translational research and biomarker discovery for cancer. I briefly talked about the BC Translational Digital Pathology AI Initiative where we intend to integrate imaging and omics for biomarker discovery. I then briefly highlighted a few use cases that we are currently working on.

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