US Patent Issued to Grail on Feb. 25 for "Systems and methods for using a convolutional neural network to detect contamination" (California Inventors)

ALEXANDRIA, Va., Feb. 26 -- United States Patent no. 12,236,346, issued on Feb. 25, was assigned to Grail Inc. (Menlo Park, Calif.).

"Systems and methods for using a convolutional neural network to detect contamination" was invented by Christopher-James A. V. Yakym (Mountain View, Calif.) and Onur Sakarya (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a convolutional neural net for contamination analysis is provided. A training dataset is obtained comprising, for each respective training subject in a plurality of subjects, a variant allele frequency of each respective single nucleotide variant in a respective plurality of single nucleotide variants, and a respectiv...