AIMC Topic: Receptor, Fibroblast Growth Factor, Type 2

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A histopathology-based artificial intelligence system assisting the screening of genetic alteration in intrahepatic cholangiocarcinoma.

British journal of cancer Dec 2, 2024
BACKGROUND: Targeted therapy for intrahepatic cholangiocarcinoma (ICC) shows superior survival outcomes but patients with certain targetable alterations are no more than 20%. Genetic alteration screening for all ICC patients is of high cost and not r...
Humans Artificial Intelligence Female Aged Male Middle Aged Genetic Testing Bile Duct Neoplasms Cholangiocarcinoma Receptor, Fibroblast Growth Factor, Type 2
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Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine Jun 10, 2021
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered ...
Humans Neural Networks, Computer Databases, Factual Female Sensitivity and Specificity Male Deep Learning Logistic Models Lymphocytes, Tumor-Infiltrating Urinary Bladder Neoplasms Receptor, Fibroblast Growth Factor, Type 3 Gene Expression Mutation Molecular Targeted Therapy Receptor, Fibroblast Growth Factor, Type 2 Receptors, Fibroblast Growth Factor
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