US Patent Issued to Endocanna Health on April 29 for "Machine-learning based efficacy predictions based on genetic and biometric information" (California Inventors)

ALEXANDRIA, Va., June 9 -- United States Patent no. 12,288,603, issued on April 29, was assigned to Endocanna Health Inc. (Burbank, Calif.).

"Machine-learning based efficacy predictions based on genetic and biometric information" was invented by Len May (Studio City, Calif.) and Eric Kaufman (Sherman Oaks, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Examples disclosed herein may involve a computing system that is configured to (i) identify a cannabinoid formulation for which to model efficacy for a given health condition shared by a plurality of individuals, (ii) receive respective efficacy information indicating the efficacy of the cannabinoid formulation for the plurality of individuals, (iii) re...