US Patent Issued to GOOGLE on Nov. 3 for "Self-supervised machine learning for medical image analysis using contrastive loss derived from a difference of image embeddings to modify machine learning model parameters" (Canadian, British, American, Swiss Inventors)

Posted On: 2026-11-03

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,784,911, issued on Nov. 3, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Self-supervised machine learning for medical image analysis using contrastive loss derived from a difference of image embeddings to modify machine learning model parameters" was invented by Shekoofeh Azizi (Vancouver, Canada), Wen Yau Aaron Loh (Mountain View, Calif.), Zachary William Beaver (San Francisco), Ting Chen (Toronto), Jonathan Paul Deaton (San Mateo, Calif.), Jan Freyberg (London), Alan Prasana Karthikesalingam (London), Simon Kornblith (Toronto), Basil Mustafa (Zurich, Switzerland), Mohammad Norouzi (Toronto), Vivek Natarajan (Sunnyvale, Calif.) and Fiona Keleher Ryan (Atlanta).

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US Patent Issued to GOOGLE on Nov. 3 for "Self-supervised machine learning for medical image analysis using contrastive loss derived from a difference of image embeddings to modify machine learning model parameters" (Canadian, British, American, Swiss Inventors)