Big data is the promise to bridge disparity gaps and improve transplantation outcomes. Learn from the expert how the integration of clinical, omics and molecular in clinical practice can transform post-transplant care globally.
Prof. Nancy Kwan Man, Hong Kong Machine learning model for outcome prediction
Weijia Zhang, United States Application of AI in transplant pathology
Dr. Adisorn Lumpaopong, Thailand Developing transplant registries in LMIC and MIC
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