Surgery Clinical Trial
Official title:
Research on Identifying and Treatment Prognosis of Chronic Rhinosinusitis Based on Image and Sequencing Data
This project focuses on researching chronic rhinosinusitis in patients, employing image processing techniques and molecular biology methods to jointly determine the research objectives: 1. Investigating heterogeneity. 2. Developing an intelligent assessment model. 3. Creating a visual tool for diagnosis and prognosis.
1. Investigating the heterogeneity of chronic rhinosinusitis: the project will utilize high-throughput information from various sources such as radiology, pathology, and proteomics to gain insights into the multi-dimensional and big data aspects of chronic rhinosinusitis. By analyzing this data, the study aims to identify and understand the different subtypes with more precise and personalized treatment approaches. 2. Developing an intelligent assessment model: using artificial intelligence algorithms, the project will analyze multi-omics data gathered from the research. The goal is to establish an intelligent assessment model that can accurately interpret the data and provide valuable insights into chronic rhinosinusitis. 3. Creating a visual tool for diagnosis and prognosis: the project seeks to integrate multi-omics information to establish an AI model for typing and prognostic prediction. By achieving these research objectives, this project aspires to enhance the understanding of chronic rhinosinusitis and contribute to the development of more precise, personalized, and effective treatment strategies for patients suffering from this condition. ;
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