Join the UNC Program for Precision Medicine in Healthcare (PPMH) for Precision Health @UNC: Machine Learning & Precision Analytics, a virtual mini-symposium on April 14th from 1:00 to 3:00pm. At this interactive event, you will engage in discussion with leading Precision Medicine researchers at UNC. 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.
Shawn Gomez, PhD: Data-driven approaches towards linking kinotype with phenotype
Professor, Pharmacology and UNC/NC State Joint Department of Biomedical Engineering
Numerous aspects of cell signaling are regulated by the kinome – the network of over 500 protein kinases that guides and modulates information transfer throughout the cell. This presentation describes the application of machine learning methods to mapping the architecture of the kinome as well as the linking of drug perturbations with changes in downstream phenotypes.
Amanda Nelson, MD: Machine learning for phenotyping in osteoarthritis
Associate Professor of Medicine, Division of Rheumatology, Allergy, and Immunology
This presentation will provide an overview of osteoarthritis as a heterogeneous disease and efforts to date by the UNC Thurston Arthritis Research Center’s Core Center for Clinical Research to understand 1) potential phenotypes within osteoarthritis using novel machine learning-based methodology in cohort data, and 2) heterogeneity of treatment response to optimize therapy using precision medicine approaches in clinical trial data.
Alex Rubinsteyn, PhD: Machine learning in personalized cancer vaccine design
Assistant Professor, Computational Medicine and Lineberger Cancer Center
This presentation focuses on the use of machine learning in cancer immunotherapy. Specifically, we will focus primarily on personalized cancer vaccination but also discuss other related therapies. The unique thing about these fully personalized therapies is that they are manufactured on demand for each patient and rely heavily on algorithms to determine the contents of the therapy.
This dynamic discussion forum will explore the breadth of Precision Health initiatives at UNC and facilitate connections between colleagues with similar research interests. We hope to see you there!
|1:10-1:35||Shawn Gomez presentation|
|1:35-2:00||Amanda Nelson presentation|
|2:00-2:25||Alex Rubinsteyn presentation|
|2:25-2:40||Breakout rooms – Q&A with individual speakers|
Click here to register.
Email firstname.lastname@example.org for more information.