It's not out yet, but I'm seeing publicity for a new book on computational pathology, "Precision Pathology: From Pixels to Predictions." Springer, here.
The Amazon page says it ships November 4, 2026, here.
See LinkedIn for one of the coauthors, Dr. Gu of Pittsburgh, here.
If that's of interest, you may also like Rajni Toppo's essay, Human vs. Machine Judgment in Pathology: Rethinking the “Human Baseline” - here.
And you might like a new article in NEJM AI, "Tranlating AI in Pathology into Clinical Impact" (Su et al., 2026).
Back to the "Precision Pathology" book, here is a quick AI summary:
Precision Pathology: Pixels to Predictions captures pathology’s transformation from microscope to computational medicine. Grounded in real-world workflows, it explores digital pathology, AI, foundation and agentic models, and multi-omics.
Its concept of “pixelomics” traces the journey from pixels to patterns, diagnosis, prediction, and molecular insight—offering pathologists, trainees, and researchers a practical guide to the emerging future of precision pathology.
The Times describes an unprecedented global build-out of AI computing infrastructure. About 20 million advanced chips support AI today, potentially rising tenfold by 2028, as U.S. tech giants spend hundreds of billions on data centers. Advocates expect accelerating breakthroughs, agents, and automation; critics warn of bubbles, job disruption, soaring electricity demand, environmental impacts, widening inequality, and intensifying U.S.-China geopolitical rivalry.
