In the latest episode of the On AIRR – An AIRR-C Podcast Series, Dr. Ulrik Stervbo and Dr. Zhaoqing Ding speak with Maxim Zaslavsky (a PhD student at Stanford) and Dr. Scott D. Boyd (Professor of Pathology and of Food Allergy and Immunology at Stanford) about the preprint “Disease diagnostics using machine learning of immune receptors”, available at BioRxiv. The work is led by Maxim Zaslavsky with Scott Boyd the corresponding author. In the manuscript, the authors demonstrate how AIRR-seq and machine learning can be used in disease diagnostics.
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