We create deep learning representations of cancer that uncover more profound insights than ever before.
Our largely unsupervised approaches will rebuild pathology from first principles using a data-driven approach and unlock previously inaccessible insights.
Automate tedious and error-prone tasks like cell counts and morphological analysis and do more of what humans excel at.
Receive insights on previously inaccessible features of patient biopsies, including information on the bone marrow niche.
Advanced prognostics, therapy recommendation, relapse detection, biomarker discovery, and more.
Andrew has experience in leukemia research and biomedical deep learning software development, as well as experience founding StrainBrain and the McMaster AI Society.
Dr. Clinton Campbell, MD, PhD, FRCPC
Clinton has over a decade of experience as a practicing hematopathologist, as well as a strong research background in blood cancers and world-class expertise in digital pathology.