US Patent Issued to Aclarion on April 14 for "System for machine learning-based model training and prediction for evaluation of pain" (California Inventors)

ALEXANDRIA, Va., April 15 -- United States Patent no. 12,601,803, issued on April 14, was assigned to Aclarion Inc. (San Mateo, Calif.).

"System for machine learning-based model training and prediction for evaluation of pain" was invented by James Charles Abel (Emerald Hills, Calif.), James Clayton Peacock III (San Carlos, Calif.) and Ricardo Dario Pradenas (Irvine, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for using machine learning (ML) models to evaluate data generated during MRI procedures, such as magnetic resonance spectroscopy (MRS) data, to evaluate patient disc pain. An ML-based disc assessment system can evaluate MRS spectrum data ML models trained to cl...