More than two years have passed since our Chief Scientist, Dr. Thomas Leung, came up with the idea for BenchSci. Today, we are happy to announce that we have officially launched the beta version of BenchSci at 10 universities across North America.
For those of you who didn’t know, BenchSci is a search and validation platform that allows scientists to find antibody usage data in the form of published figures. The platform is fueled by a machine learning software that reads papers like a scientist. Our software extracts figures and identifies the associated experimental contexts, such as techniques, species, and tissues.
Our goal is to help scientists find antibodies that have been proven to work by the scientific community. That is why our platform is completely free for bench scientists at our beta universities, which includes: University of Toronto, University of Calgary, City University of New York System (CUNY), State University of New York (SUNY), MD Anderson Cancer Center, Baylor College of Medicine, University of Iowa, University of Virginia, University of Wisconsin-Madison, Georgetown University, University of Notre Dame, and Thomas Jefferson University.
Today is just the first step of our long journey. BenchSci is far from being complete. Every day we are working on making the platform better, whether it is adding more data from papers and vendors or building innovative features that will make the life of scientists easier and more productive.
We hope you like what we have built. Please email us at firstname.lastname@example.org and let us know what you think.