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SUMMARY:Lunch 'N Learn: The Antibody Crisis: Leveraging machine learning for evidence-based antibody search
DESCRIPTION:Join us for an engaging presentation on \nThe Antibody Crisis: Leveraging machine learning for evidence-based antibody search\nby Maurice Shen from BenchSci \nThe“reproducibility crisis” has generated much attention in the research community over the past years. While the issue is multifaceted at its core\, rogue antibodies have been identified as one of the major culprits. \nTo ensure scientists can find antibodies that have been proven to work repeatedly by peers\, we developed an open-access resource that uses a machine learning algorithm to screen the literature and identify which and how antibodies have been cited. The resulting peer-reviewed data are searchable by protein targets or product identifier\, and are filterable by experimental contexts as cited in papers\, including technique\, tissue\, cell line\, to help users pinpoint antibodies that have been published under experimental conditions matching their study interest. \nFreely accessible resource for UNC and affiliated scientists at https://landing.benchsci.com/academic \nLocation: Bondurant Hall\, Room G030 \nPlease RVSP for this Lunch N’ Learn event so we can prepare enough food for everyone! RVSP link: https://www.addevent.com/event/ON3105846 \nSponsored by the SOM Office of Research Technologies \n 
URL:https://www.med.unc.edu/flowcytometry/event/lunch-n-learn-the-antibody-crisis-leveraging-machine-learning-for-evidence-based-antibody-search/
LOCATION:G030 Bondurant Hall
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