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
- Automate data-driven diagnostic workflows to allow clinicians to focus on value-added contributions
- Harness existing health information and data to create more accurate predictive models
- Create platforms for collaboration and dissemination of best practices to accelerate innovation and progress in medicine
- Develop premier training programs and impactful scholarship in the field of computational pathology
2021 MPG/CP Symposium
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 genomics, proteomics, and metabolomics is challenging traditional medical paradigms and creating novel opportunities for improved, personalized patient care.
Introduction
Dr. Stefani Thomas, University of Minnesota
Dr. Michael Snyder, Stanford University
Computational methods for detection of DNA adducts using mass spectrometry
Dr. Scott Walmsley, University of Minnesota
Highlights of the HUPO Human Proteome Project with an example of proteo-genomics of cancers
Dr. Gil Omenn, University of Michigan
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
10:00–10:30 - Local Talk 1: Andrew Nelson, MD, PhD
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