MAP Kinase Inhibitors Patent - Washington University

The European Patent Office published patent EP4219489A2 for MITOGEN-ACTIVATED PROTEIN KINASE INHIBITORS, methods of making, and methods of use thereof. Applicant is Washington University with six inventors including HOLTZMAN, ROMERO, GEROVAC, HAN, KEELER, and WU. The patent covers heterocyclic compounds classified under C07D with therapeutic applications including respiratory diseases (A61P 11/00), infections (A61P 31/00), and oncology (A61P 35/00).

Natural Porphin Salt Plant Growth Regulator

The European Patent Office published patent application EP4578859A1 for Nanjing Bostec Biological Engineering Co., Ltd, covering a natural porphin salt composition for use as a plant growth regulator and immune resistance inducer in agriculture. The patent application was published March 25, 2026, designating 35 European Patent Convention member states. This is an informational patent publication notice establishing intellectual property rights for the applicant.

Azabicyclo Chromenone Derivatives for RNA Splicing Modulation in Neurological Diseases

The European Patent Office published patent EP4192454A1, granted to Skyhawk Therapeutics, Inc., covering 6-(6-((8-azabicyclo[3.2.1]octan-3-yl)amino)-1,2,4-triazin-3-yl)-7-hydroxy-4H-chromen-4-one derivatives. The patent claims compositions and methods for modulating RNA splicing for the treatment of neurological diseases. The patent names three inventors and is designated across 38 European contracting states.

Bristol-Myers Squibb patents Factor XIa macrocycles, 25th Mar

Bristol-Myers Squibb patents Factor XIa macrocycles, 25th Mar

Methods and Systems for Ablation of the Renal Pelvis

Verve Medical, Inc. filed a patent application (US20260091000A1) with the USPTO on April 2, 2026 for methods and systems of renal pelvis ablation to treat renal nerves. The application covers apparatus and systems for delivering heat or extracting heat through the renal pelvis wall, or delivering active substances to ablate tissue lining. Inventors include Terrence J. Buelna, Adam Gold, and Rahul Rao.

Using Compressed Representations to Adapt Generative Models to New Context Data

USPTO published patent application US20260093991A1 for methods and systems using compressed representations to adapt generative models to new context data. The application was filed on October 2, 2025, by inventors Yoel Yehuda Zeldes, Amir Zait, Efrat Farkash, Ilia Labzovsky, and Danny Karmon. The invention involves processing compressed representations with a trained compression model to generate responses to queries through a generative neural network.

Neural Network Alignment Using Filter Layers

The USPTO published patent application US20260093990A1 describing methods for aligning pre-trained generative neural networks by introducing trainable filter layers. The filter layers process outputs from pre-trained network stacks while keeping the original pre-trained parameters fixed. Inventors: Xiangyu Qi, Xiao Ma, Ahmad Beirami.

Electronic Device, Terminal, and Operating Method with Neural Network Lightweighting

Samsung Electronics Co., Ltd. filed patent application US20260093989A1 for an electronic device and operating method that generates candidate neural networks by excluding nonlinear layers, selects candidates based on importance and latency values, and merges successive convolution layers. The patent (Application No. 19329970) was published April 2, 2026, with inventors Jinuk Kim and Hyun Oh Song. The invention relates to CPC classifications G06N 3/082 and G06N 3/0464, covering neural network optimization and compression techniques.

Attention Mechanism Adjustment Method Based on Attention Score and Computing Device

The USPTO published patent application US20260093988A1 by Industrial Technology Research Institute for an attention mechanism adjustment method in Transformer models. The invention performs cross-head column-wise aggregation on attention score matrices to determine token importance, then prunes less important tokens before softmax operations. This reduces computational complexity while maintaining model performance.

Computer System and Method for Quantizing Artificial Neural Network Model

USPTO published patent application US20260093987A1 by NOTA, INC. for a neural network quantization method that identifies outliers from activation elements and regularizes weights based on outlier relevance before quantization. The application was filed November 12, 2024.