Presented by: Matthew Greving, PhD, VP, Machine Learning and Platform Technologies, iBio
Abstract: Antibody discovery efficiency and quality can be enhanced with machine learning. A lack of high-quality activity data at a scale sufficient to test and train models is a major limitation in the integration of machine learning and antibody discovery. We will present the use of high throughput Carterra LSA binding screens to test activity and accuracy of machine learning designed antibody libraries. In addition, we will present the use of high throughput Carterra LSA binding screens to train a machine learning model that predicts high-affinity antibodies for a target.
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