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Machine Learning and Precision Analytics Mini-Symposium
April 14 @ 1:00 pm - 3:00 pm
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