ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,387,817, issued on Aug. 12, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Sequence variation detection using deep learning" was invented by Nikolai Yakovenko (Palo Alto, Calif.), Johnny Israeli (San Jose, Calif.), Avantika Lal (Burlingame, Calif.), Michael Vella (Princes Risborough, Great Britain) and Zhen Hu (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and computer program products are disclosed that use embeddings of candidate variation information and deep learning models to accurately and efficiently detect variations in biopolymer sequencing data, particularly suboptimal sequencing data."

The patent...