US Patent Issued to AMAZON TECHNOLOGIES on March 3 for "Deep learning model for predicting tumor-specific neoantigen MHC class I or class II immunogenicity" (Canadian, American, Israeli Inventors)

ALEXANDRIA, Va., March 3 -- United States Patent no. 12,567,480, issued on March 3, was assigned to AMAZON TECHNOLOGIES INC. (Reno, Nev.).

"Deep learning model for predicting tumor-specific neoantigen MHC class I or class II immunogenicity" was invented by Gil Sadeh (Herzliya, Israel), David Heckerman (Bellevue, Wash.), Layne Christopher Price (Seattle), Frank Wilhelm Schmitz (Seattle), Anta Imata Safo (Seattle) and Jasleen Kaur Grewal (Vancouver, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein are methods for predicting tumor-specific neoantigen MHC class I or MHC class II immunogenicity by jointly predicting MHC class I or MHC class II binding affinity and predicting the likelihood a...