Wednesday – Machine Learning and Precision Analytics Mini-Symposium

Join the UNC Program for Precision Medicine in Health Care (PPMH) for Machine Learning & Precision Analytics, a free virtual mini-symposium from 1-3pm on Wednesday April 14. Presenters will explore information sources, data science tools that use the information, and the application of the resulting findings to health care. Another theme will be sources of bias in machine learning and how that bias can be minimized or eliminated. Participants will engage with presenters and each other around these topics.

Data-driven approaches towards linking kinotype with phenotype

Shawn Gomez, PhD

Professor, Pharmacology and UNC/NC State Joint Department of Biomedical Engineering

Machine learning for phenotyping in osteoarthritis

Amanda Nelson, MD

Associate Professor of Medicine, Division of Rheumatology, Allergy, and Immunology

Machine learning in personalized cancer vaccine design

Alex Rubinsteyn, PhD

Assistant Professor, Computational Medicine and Lineberger Cancer Center

Click here to register. Contact precisionmedicine@med.unc.edu for more information.