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.
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.
- 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
[VIRTUAL] Molecular Pathology and Genomics and Computation Pathology Symposium
JULY 23, 2020, 9 AM. - NOON
9:00 – 10:00 Keynote Speaker 1: Colin Pritchard, MD, PhD
10:00 – 10:30 Local Talk 1: Andrew Nelson, MD, PhD
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
11:30 – 12:00 Local Talk 2: Kelsey McIntyre, PhD