In association with AACR Pathology in Cancer Research Working Group

July 20 – 22, 2027
Hyatt Regency Calgary
Calgary, Alberta, Canada

Abstract Submission Deadline (Opening Soon): Tuesday, May 4, 2027 1 p.m. ET
Advance Registration Deadline (Opening Soon): Tuesday, June 8, 2027

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Conference Cochairs:

Angelo M. De Marzo, Johns Hopkins University School of Medicine, Baltimore, Maryland
Annette S. Kim, University of Michigan, Ann Arbor, Michigan
Massimo Loda, Weill Cornell Medicine, New York, New York
Robin Lorenz, Genentech, South San Francisco, California

Pathology is undergoing a profound transformation driven by advances in digital pathology, artificial intelligence (AI), next-generation sequencing, spatial profiling technologies, and multi-omics approaches. These innovations are reshaping how cancer is diagnosed, characterized, and managed, while creating new opportunities to accelerate biomarker discovery, translational research, and precision oncology.

This conference will bring together pathologists, oncologists, cancer researchers, computational biologists, bioinformaticians, and technology innovators to explore the rapidly evolving role of pathology in cancer research. Through interdisciplinary discussions and scientific presentations, attendees will examine how emerging technologies are advancing cancer diagnostics and enabling deeper biological insights into tumor development, progression, and therapeutic response.

Sessions will highlight advances in digital pathology and AI, spatial biology, liquid biopsy technologies, biomarker development, companion diagnostics, and multi-omics integration. The program will also explore how these tools can be applied to evaluate treatment response and resistance, improve clinical decision-making, and support the development of precision oncology strategies.

The central focus of the meeting will be addressing challenges associated with implementation of next-generation pathology technologies, including validation, standardization, reproducibility, data management, and ethical considerations surrounding AI-enabled systems. By bringing together experts from academia, industry, and clinical practice, this conference aims to foster collaboration, share best practices, and accelerate the integration of innovative pathology approaches into cancer research and patient care.