Combination therapy for treating muscular dystrophy patent

The European Patent Office granted Solidus Biosciences Patent EP3893940A1 covering combination therapies for treating muscular dystrophy, including genetic, protein-based, and viral vector approaches. The patent, classified under IPC codes A61K 48/00 and C12N 15/113, designates all EU member states plus Switzerland, Norway, and Turkey. This patent grant establishes intellectual property rights that may affect freedom-to-operate for competing therapeutic development programs.

Simultaneous Gene Editing and Haploid Induction

The European Patent Office published patent application EP3899016A1 for Syngenta Crop Protection AG, covering simultaneous gene editing and haploid induction in plants. The invention involves methods for combining haploid induction with CRISPR-based gene editing to accelerate crop breeding. The patent names inventors Timothy Kelliher and Qiudeng Que, with priority classification in C12N 9/22 (nucleic acid enzymes) and related biotechnology IPC codes.

Exogenous protein-expressing microorganism and use thereof

The European Patent Office published patent EP3858995A2 granted to Medytox Inc. on April 1, 2026, covering an exogenous protein-expressing microorganism and its applications. The patent specifies designated states across EU member nations and multiple IPC classifications spanning therapeutic, nutritional, and pharmaceutical uses.

Google Machine Learning Temporal Residual Connections Patent

The European Patent Office published EP4232959A1, a Google patent for machine learning models with temporal residual connections designed to improve sequential data processing. The patent covers techniques for enhanced handling of time-series data using specialized neural network architectures.

Machine learning method, device, electronic apparatus, storage medium

Machine learning method, device, electronic apparatus, storage medium

Quantum Processing Unit, Quantum Computing System, and Method for Reading Out States of Qubits

The European Patent Office published patent EP4433956A1 for IQM Finland Oy, covering a quantum processing unit, quantum computing system, and method for reading qubit states. The patent application was filed by inventors Caspar Ockeloen-Korppi, Johannes Heinsoo, Matthew Sarsby, and Pasi Lähteenmäki. The patent covers G06N classifications relevant to quantum computing models and quantum processor architectures.

Identity Graph Fraud Detection Systems and Methods - Stripe Patent EP4172908A1

The European Patent Office published Stripe LLC's patent application EP4172908A1 for identity graph-based fraud detection systems and methods. The invention covers AI/machine learning techniques for analyzing identity relationships to detect fraudulent activity across payment networks. The patent is designated for protection in all 35 European states including Germany, France, UK, Italy, Spain, and the Netherlands.

A Machine Learning Framework and Method for Using the Same

The European Patent Office published patent application EP4172902A1 for Stripe, LLC covering a machine learning framework and method for payment and financial applications. The patent names six inventors and designates 32 European states. This publication makes the technical disclosure publicly available and establishes priority dates for the claimed ML innovations.

ZTE Federated Learning Participant Selection Patent, G06N 20/00

The European Patent Office granted patent EP4250188A1 to ZTE Corporation covering federated learning participant selection methods and apparatus. The patent protects ZTE's technology for intelligently selecting participants in federated learning systems based on model performance metrics and communication efficiency. This patent is effective across all designated EPO member states including Germany, France, the UK, Italy, Spain, and 25 other European countries.

Object Recognition Neural Network for Amodal Center Prediction

The European Patent Office published patent EP4172862A1 for Magic Leap, Inc., covering a neural network method and system for predicting amodal center points to determine complete object shapes from partial visual observations in object recognition applications.