Interpreting Precision Medicine Data

Advances in data integration enable scientists to combine multiomics data and a patient’s clinical record to develop precision medicine approaches for treating disease.

From DNA sequencing, proteomics profiling, and clinical data analysis to wearable biosensing technology, researchers are developing new ways to track individual health. How do researchers reliably interpret these results and apply them to new treatments and therapeutics? In this seminar, Tim Hulsen, Zeeshan Ahmed, Alexandra Blee, and Bill Stanford will discuss how scientists examine genetic and molecular information to develop individualized therapeutic strategies.

Topics to be covered

  • Applying big data to precision medicine
  • Integrating clinical and multiomic data for cardiovascular disease treatment
  • Continuing precision medicine education
  • Using machine learning and functional validation to predict disease variants
  • Modeling tumorigenesis using stem cell-derived tissue engineering

Monday, September 19th, 2022 | 9:30 AM - 12:30 PM Eastern Time
This seminar will be available to view live and on demand.


Tim Hulsen, PhD

Tim Hulsen, PhD

Senior Scientist
Department of Hospital Services & Informatics
Philips Research
Eindhoven, Netherlands

Zeeshan Ahmed, PhD

Zeeshan Ahmed, PhD

Assistant Professor
Department of Medicine
Rutgers Robert Wood Johnson Medical School
Rutgers, The State University of New Jersey

Alexandra Blee, PhD

Alexandra Blee, PhD

Postdoctoral researcher
Laboratory of Walter Chazin, PhD
Vanderbilt University

William L (Bill) Stanford, Ph.D.

William L (Bill) Stanford, PhD

Senior Scientist
Sprott Centre for Stem Cell Research & Regenerative Medicine Program
The Ottawa Hospital Research Institute

Supporter  Statement

Carrie Hoefer, PhD

Carrie Hoefer, PhD
Director of Pharmacogenomics
Assistant Professor, Pharmaceutical Sciences
University of Cincinnati

Supported by