Tootfinder

A path towards AI-scale, interoperable biological data
Brian Aevermann, Andrea Califano, Chi-Li Chiu, Nathan Clack, William M. Clemons Jr., Jonah Cool Florence D. D'Orazi, Joseph L. DeRisi, Joshua E. Elias, Elizabeth Fahsbender, Scott E. Fraser, Carlos G. Gonzalez, Matthias Haury, Theofanis Karaletsos, Shana O. Kelley, Aly A. Khan, Alan R. Lowe, Emma Lundberg, Ryan A. McClure, Stephani Otte, Evan O. Paull, Lo\"ic A. Royer, Dana Sadgat, Sandra L. Schmid, Samantha Scovanner, Cat…

A path towards AI-scale, interoperable biological data
Biology is at the precipice of a new era where AI accelerates and amplifies the ability to study how cells operate, organize, and work as systems, revealing why disease happens and how to correct it. Organizations globally are prioritizing AI to accelerate basic research, drug discovery, personalized medicine, and synthetic biology. However, despite these opportunities, scientific data have proven a bottleneck, and progress has been slow and fragmented. Unless the scientific community takes a t…