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Thursday, October 3 • 10:40am - 11:00am
AI in Drug Discovery Today- AI-Assisted Antibody Selection: The Application Of Machine Learning To Accelerate The Drug Discovery Process

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AI-Assisted Antibody Selection: The Application Of Machine Learning To Accelerate The Drug Discovery Process:
With a 50% failure rate, inappropriate antibodies used in scientific experiments waste millions of research dollars and can delay the drug discovery process by months. Research scientists across industry and academia turn to scientific publications and related original research documents to find evidence for antibodies proven to work in their specific experimental context. However, existing publication and antibody search tools are limited in their ability to decode scientific experiments and scientists are forced to manually comb through hundreds, if not thousands of results, to find the information they need to choose the best antibody for their research.

BenchSci’s AI is trained by Ph.D. researchers in the life sciences to identify which antibodies have been successfully used in specific experimental contexts. Advances in the fields of computation and machine learning paved the way for the development of BenchSci’s proprietary image and text-based machine learning algorithms along with bioinformatics ontologies, to extract relevant experimental data from original research documents. This information is contextualized within a knowledge graph that powers an AI-assisted antibody selection platform, enabling scientists to rapidly select appropriate products, improve the efficiency of target validation experiments and drive projects forward.

Our goal in the development of this technology, is to shorten the R&D and pre-clinical phases by giving research scientists the ability to leverage the power of AI technology to streamline the experimental design process and ultimately bring treatments to market faster.

Speakers
avatar for Casandra Mangroo, PhD

Casandra Mangroo, PhD

Head of Science, BenchSci
Casandra is Head of Science at BenchSci. She applies research experience from her Ph.D. in Virology from the University of Toronto as the Science Team lead and product manager of BenchSci’s knowledge graph. Casandra is closely involved with developing the machine learning training... Read More →

Chairs
avatar for Yohann Potier, Ph.D.

Yohann Potier, Ph.D.

Director of Data Science & Informatics, Voyager Therapeutics
Yohann was recently named Director of Data Science & Informatics at Voyager Therapeutics, after almost six years at the Novartis Institute for Biomedical Research. He studied Biotechnology and Informatics in France followed by a Ph.D. in Computational Chemistry at the University of... Read More →


Thursday October 3, 2019 10:40am - 11:00am
Theater Ballroom (5th Fl) - Courtyard Boston Downtown 275 Tremont Street, Boston, MA 02116

Attendees (1)