Advancing Precision Medicine through Computational Pathology: Development and Deployment, Andrew Janowczyk

Speaker: Andrew Janowczyk, PhD | Assistant Professor, Biomedical Engineering, Emory University & Georgia Institute of Technology

Date: Monday, Sep 14th, 2026

Time: 10:00 AM Central Time

Location: Zoom

Title: “Advancing Precision Medicine through Computational Pathology: Development and Deployment”

Abstract: This talk will explore how computational pathology can advance precision medicine by enabling the development of reproducible, scalable, and rapidly deployable biomarkers from routine pathology images. It will begin by examining what makes a good clinical biomarker and how computational approaches can address key requirements such as reproducibility, objectivity, scalability, and speed of delivery. The talk will then focus on the challenges of translating research algorithms into clinically useful tools, including validation, integration with existing diagnostic workflows, regulatory and operational considerations, and maintaining performance in real-world settings. Drawing on the past 4 years of experience at the University of Geneva Hospitals, where more than 2,000 slides are scanned each day, we will discuss the development and deployment of locally developed computational pathology algorithms within a primary diagnostic pipeline, and the broader paradigm shifts required to move computational biomarkers from research into routine clinical practice.

Bio: Dr Andrew Janowczyk is an Assistant Professor at the Emory Precision AI for Health Institute (EmPathI) at Emory University, and a data analyst at the Geneva University Hospitals in the Oncology and Pathology departments. For over 15 years he has applied computer vision algorithms to digital pathology images to build tools for disease diagnosis, prognosis, and therapy response prediction. He helped co-found and was elected secretary of the Swiss Digital Pathology Consortium (SDiPath).

He leads the development of the HistoTools suite, a set of open-source computational pathology tools for quality control (histoqc.com), annotation (quickannotator.com), labeling (patchsorter.com), validation (cohortfinder.com). His newer research focuses on the tasks of predicting prognosis and therapy response and their translation into clinical settings. He maintains a research-oriented blog, andrewjanowczyk.com, which aims to provide digital pathology related insights, code, and datasets to the research community.