US Patent Issued to UT-BATTELLE on July 7 for "Machine learning on multimodal chemical and whole slide imaging data for predicting cancer labels directly from tissue images" (Tennessee Inventors)

ALEXANDRIA, Va., July 7 -- United States Patent no. 12,675,875, issued on July 7, was assigned to UT-BATTELLE LLC (Oak Ridge, Tenn.).

"Machine learning on multimodal chemical and whole slide imaging data for predicting cancer labels directly from tissue images" was invented by Olga S. Ovchinnikova (Knoxville, Tenn.), Jacob D. Hinkle (Oak Ridge, Tenn.), Inzamam Haque (Knoxville, Tenn.) and Debangshu Mukherjee (Knoxville, Tenn.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods and programs including machine learning techniques which can predict a spectral image directly from an optical image of a patient's tissue sample using a first model. There may be different first models for different cancer...