Abstract: Machine-learning-assisted cancer subtyping is a promising avenue in digital pathology. Cancer subtyping models however require careful training using expert annotations, so that they can be ...

Wang X^, Zhao J^, Marostica E, Yuan W, Jin J, Zhang J, Li R, Tang H, Wang K, Li Y, Wang F, Peng Y, Zhu J, Zhang J, Jackson CR, Zhang J, Dillon D, Lin NU, Sholl L ...

SPOKANE, Wash., Jan. 20, 2026 /PRNewswire/ -- Gestalt, a recognized leader in digital pathology and AI-powered workflow solutions, is proud to announce that the Indiana Animal Disease Diagnostic ...

Abstract: Advances in classical machine learning and single-cell technologies have paved the way for understanding interactions between disease cells and tumor microenvironments towards accelerating ...