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Benjamin Haibe-Kains, Chaya Moskowitz and Matt Hemsley talked about reproducibility and good practices in machine learning research. This was followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.

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

Representatives from Quantitative Imaging for Personalized Cancer Medicine, Brain-CODE and Ontario Health Data Platform presented overviews of their data integration platforms. This was followed by discussion focused on opportunities to collaborate and share resources.

Dr. Haider, a radiologist, discussed the prostate cancer unmet clinical need followed by two researchers, Dr. Mousavi and Mr. Orlando, describing their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.

Dr. Lang, a radiation oncologist, discussed the unmet clinical need followed by two researchers, Dr. Mattonen and Mr. Kazmierski, described their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.