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Court opinions, regulatory guidance, and enforcement actions. AI-summarized.
Financial Compliance
SEC, OCC, FDIC, Fed, FINRA, CFPB, FASB, and state banking regulators. One feed.
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Trade & Procurement
Recent changes
Anti-human P40 protein domain antibody and use thereof
USPTO granted Patent US12595300B2 to Akeso Biopharma, Inc. covering an anti-human P40 protein domain antibody for treating autoimmune diseases. The patent includes 20 claims with specific amino acid sequences for heavy and light chain variable regions (SEQ ID NOs 1, 24 for heavy chain; SEQ ID NOs 6, 11, 13, 15, 17, 25 for light chain).
LMP-1 Expressing Cells and Methods of Use Thereof - Dana-Farber Cancer Institute
Dana-Farber Cancer Institute, Inc. has been granted USPTO Patent US12595285B2 covering immunogenic cells expressing LMP1 and methods of use for cancer treatment and T cell activation. The patent, with 15 claims, names Baochun Zhang, Il-Kyu Choi, and Zhe Wang as inventors, with an application filing date of May 13, 2022.
P2X3 receptor antagonist patent, Beijing Tide Pharma, 6 claims
P2X3 receptor antagonist patent, Beijing Tide Pharma, 6 claims
Heterocyclic GLP-1 agonists
USPTO granted patent US12595264B2 to Gasherbrum Bio, Inc. on April 7, 2026, covering heterocyclic GLP-1 receptor agonists of Formula (I), including pharmaceutical salts, solvates, and compositions. The patent names six inventors and contains 24 claims, with CPC classifications spanning heterocyclic chemistry (C07D 487/04), phosphorus compounds (C07F 9/6561), and pharmaceutical formulations (A61K 31/4985, A61K 38/26).
PRMT5 inhibitors for cancer, sickle cell, and HPFH treatment
USPTO granted patent US12595262B2 to Merck Sharp & Dohme LLC for PRMT5 inhibitor compounds and methods of treatment for cancer, sickle cell disease, and hereditary persistence of foetal hemoglobin (HPFH). The patent covers 14 claims including compounds A through D and their pharmaceutical salts, esters, and prodrugs.
Inspection Device with ML Classification Using Temporal Images - NEC Corporation
The USPTO granted NEC Corporation Patent US12597112B2 for an inspection device that classifies temporal captured images of target objects into groups using machine learning, recognizes images within each group, and integrates determination results to output a final classification result. The patent covers classification means, recognition means, and integration means for processing sequential image data.
Semantic Concept Synthesis Method Patented by Primal Fusion
USPTO granted Patent US12596741B2 to Primal Fusion Inc. on April 7, 2026. The patent covers methods for semantic concept definition and relationship synthesis using machine learning techniques. Inventors include Peter Sweeney and Alexander David Black, with the patent application filed on June 14, 2024.
System and Method for Protecting Information - US12596823B2
USPTO granted Patent US12596823B2 to Microsoft Technology Licensing, LLC on April 7, 2026. The patent covers AI and machine learning methods for protecting sensitive information from unauthorized disclosure in model processing. The 20-claim patent (CPC: G06N 20/00) describes a system that detects sensitive information in AI model outputs and verifies whether input content supported that inclusion.
Environment detection and optimization for an information handling system
USPTO granted Dell Products L.P. Patent No. US12596825B2 for an information handling system that uses sensor-based inferences to detect a user's environment and control access to confidential information using behavior analysis. The patent, filed January 26, 2024, with 18 claims, covers technology for implementing content-based information protection in various environments including public places.
Systems and methods for merchant level fraud detection based in part on event timing
USPTO granted Patent US12597035B2 to Stripe, LLC for a fraud detection system that analyzes merchant transaction timing using machine learning models. The patent covers encoding merchant system data and time-based sequential operation data into inputs for multiple ML models to generate fraud scores. When fraud thresholds are met, remediative actions are triggered against merchant transactions or systems.
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