Computational Pathology

Purpose Statement

The Division of Computational Pathology extracts clinically actionable knowledge from high-dimensional data and presents that information to clinicians in an interactive and intuitive way that optimizes clinical decision making and maximizes patient safety.  The goal is to use intelligent algorithms, including machine learning, to design decision support systems that will allow for continuous quality improvement beyond current best practices, while at the same time being faster and less burdensome to the stakeholders in the healthcare environment.

Vision Statement

The University of Minnesota's Division of Computational Pathology will be the world leader in freeing human potential and creating the diagnostic tools of scalable precision medicine.

Strategic Objectives

  1. Automate data-driven diagnostic workflows to allow clinicians to focus on value-added contributions
  2. Harness existing health information and data to create more accurate predictive models
  3. Create platforms for collaboration and dissemination of best practices to accelerate innovation and progress in medicine
  4. Develop premier training programs and impactful scholarship in the field of computational pathology

Molecular Pathology and Genomics & Computation Pathology Symposium

May 5, 2021 - Virtual

The "omics" revolution has arrived!

Curious about the revolutionary role of mass spectrometry in personalized medicine? Join the Department of Laboratory Medicine & Pathology’s Divisions of Molecular Pathology and Genomics (MPG) and Computational Pathology (CP) to learn about how the integration of genomicsproteomics, and metabolomics is challenging traditional medical paradigms and creating novel opportunities for improved, personalized patient care.

Dr. Stefani Thomas, University of Minnesota

Session 1- 10:30AM to 11:30AM 
Big Data, Health and COVID-19
Dr. Michael Snyder, Stanford University
Session 2- 11:30AM-12:00PM
Computational methods for detection of DNA adducts using mass spectrometry
Dr. Scott Walmsley, University of Minnesota
Session 3- 12:00PM-1:00PM
Highlights of the HUPO Human Proteome Project with an example of proteo-genomics of cancers
Dr. Gil Omenn, University of Michigan
Panel Discussion 1:00PM to 1:30PM
Moderated by Dr. Stefani Thomas, University of Minnesota


2020 MPG/CP Symposium

July 23, 2020

9:00–10:00 - Keynote Speaker 1: Colin Pritchard, MD, PhD 

Associate Professor, Genetics
Associate Director, Genetics and Solid Tumors Laboratory
University of Washington Medical Center

10:00–10:30 - Local Talk 1: Andrew Nelson, MD, PhD

Associate Professor, Laboratory Medicine and Pathology
University of Minnesota

The Ovarian Cancer Precision Medicine Initiative

10:30–11:30 - Keynote Speaker 2: Jochen Lennerz, MD, PhD

Medical Director, Center for Integrated Diagnostics, Massachusetts General Hospital
Associate Professor of Pathology, Harvard Medical School
Assistant Pathologist, Pathology, Massachusetts General Hospital

The Use of Artificial Intelligence in the Clinical Report of Genetic Variants at Massachusetts General Hospital 

11:30–12:00 - Local Talk 2: Kelsey McIntyre, PhD

Assistant Professor, Laboratory Medicine and Pathology
University of Minnesota

Clinical Validation of Whole Genome Sequencing for Detection of Structural Variants

Accreditation Statement and Credit Designation Statements