5 results about "Stromal tumor" patented technology

This invention relates to the crystal form of Bezuclastinib and its preparation method, pharmaceutical compositions containing the crystal form, and the use of the crystal form in the preparation of drugs that inhibit KIT D816V mutations and drugs for treating gastrointestinal stromal tumors and progressive systemic mastocytosis.

This article provides a method for treating individuals with KIT-positive cancers such as gastrointestinal stromal tumors (GIST) and melanomas, wherein the method involves administering a menin inhibitor, optionally in combination with a KIT inhibitor, to the individual.

The application provides a gastrointestinal stromal tumor patient diagnosis and treatment method and device based on multiple agents, the method comprising: acquiring multi-modal patient data, and acquiring a multi-modal base model based on the multi-modal patient data; performing supervised fine-tuning on the multi-modal base model, and performing reinforcement alignment using a preset group relative strategy optimization algorithm to obtain a multi-modal base model after two-stage reasoning capability training; and generating a standardized reasoning result based on the trained multi-modal base model. According to the application, the perceived multi-modal base model is trained for two-stage reasoning capability, and the multi-modal base model is used to generate a reasoning result, so that the perception task is no longer isolated, and perception, reasoning and tracking diagnosis and treatment are integrated into a unified process. In addition, longitudinal decision training is realized, the comprehensiveness of decision training is improved, and the accuracy of reasoning is improved.

The present disclosure provides compounds of Formula I, pharmaceutical salts thereof, and / or solvates of any of the foregoing, which are useful for treating diseases and conditions related to mutant KIT and PDGFRα and present an advantageously non-brain penetrant profile for treating diseases and conditions related to mutant KIT and PDGFRα. The present disclosure also provides methods for treating gastrointestinal stromal tumors and systemic mastocytosis.

This invention relates to the field of medical image artificial intelligence analysis technology, specifically to an automated preoperative precise risk stratification system and method for gastrointestinal stromal tumors. It includes: a data preprocessing module for acquiring the original sequences of multi-phase computed tomography (CT) scans of the patient's abdomen, and performing three-dimensional volume data construction, spatial dimension standardization, and voxel intensity normalization to generate a standardized three-dimensional tensor; a deep learning model module for receiving the three-dimensional tensor and, based on a 3D Swin Transformer architecture, outputting classification probabilities corresponding to four risk levels: very low risk, low risk, intermediate risk, and high risk; and an interpretable visualization module for generating heatmaps identifying key decision-making regions of the model using gradient-weighted class activation mapping technology, and overlaying these heatmaps back onto the original CT images for visualization.