OICR BioLab: The Antibody Reproducibility Crisis: Leveraging Machine Learning for Evidence-based Antibody Search

OICR BioLab: The Antibody Reproducibility Crisis: Leveraging Machine Learning for Evidence-based Antibody Search

When and Where

Date: Thursday, October 17, 2019 - Thursday, October 17, 2019 (1 day)
Price: Free Location: 661 University Ave
Room 5-20/21 Toronto, ON, M5G 0A3 View map »

Registration Contact

Dr. Vanya Peltekova , Ph.D
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BioLab at the Ontario Institute for Cancer Research (OICR) is hosting free educational seminar on:

The Antibody Reproducibility Crisis: Leveraging Machine Learning for Evidence-based Antibody Search

Antibodies are the most commonly used tools in the life sciences. They are invaluable in many experiments to identify and isolate other molecules. But it is now clear that they are among the most common causes of problems, too. From the batch-to-batch variability, cross-reactivity, specificity, and wrong application, antibodies can also be a source for dramatically differing results, which can cause projects to be abandoned, and waste time, money and samples.

Join us to learn about BenchSci, a Canadian life science machine learning company that has developed open-access “out-of-crisis” solution by offering AI-assisted antibody selection platform that helps scientists to navigate through peer-reviewed research data and experimental contexts including technique, tissues and cell lines to find antibodies that suit their experimental conditions.

When:

Thursday October 17, 2019 | 3 to 4 p.m.
OICR, 661 University Avenue, West Tower, BR 5-20/21

To register:

Register at Eventbrite for The Antibody Reproducibility Crisis | Agenda and Speakers

Pathologists and Researchers who are interested in being part of the OMPRN: