125-TriPath: The 3D Pathology Revolution
The article introduces TriPath, a deep-learning platform designed for the analysis of three-dimensional (3D) pathology samples to predict clinical outcomes, specifically patient prognostication for prostate cancer recurrence. Researchers argue that traditional two-dimensional (2D) pathology is limited by sampling bias and insufficient representation of intrinsically 3D tissue, while TriPath leverages volumetric imaging from modalities like open-top light-sheet microscopy (OTLS) and microcomputed tomography (microCT) to capture comprehensive morphology. Key findings indicate that 3D…
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