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Tyrosine Kinase Inhibitors

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A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society 36670497
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with...
Carcinoma, Non-Small-Cell Lung Deep Learning Disease-Free Survival ErbB Receptors Humans Lung Neoplasms Mutation Progression-Free Survival Protein Kinase Inhibitors Tyrosine Kinase Inhibitors
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Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

Molecular diversity 37479824
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton's tyrosine kinase (BTK) and to provide interpretable and transparent explanations for these predictions. T...
Agammaglobulinaemia Tyrosine Kinase Algorithms Humans Machine Learning Neural Networks, Computer Protein Kinase Inhibitors Support Vector Machine Tyrosine Kinase Inhibitors
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors.

BMC gastroenterology 39838292
OBJECTIVE: To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarteri...
Adult Aged Antineoplastic Combined Chemotherapy Protocols Carcinoma, Hepatocellular Chemoembolization, Therapeutic Combined Modality Therapy Deep Learning Female Humans Immune Checkpoint Inhibitors Liver Neoplasms Male Middle Aged Prognosis Protein Kinase Inhibitors Radiomics Retrospective Studies Tomography, X-Ray Computed Tyrosine Kinase Inhibitors
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A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.

The Journal of pathology 39950223
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predict response to tyrosine kinase inhibitor (TKI) therapies, as recommended by NCCN (National Comprehensive Cancer Network) guidelines. However, gene seq...
Aged Deep Learning Female Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Humans Imatinib Mesylate Male Middle Aged Mutation Protein Kinase Inhibitors Proto-Oncogene Proteins c-kit Pyrazoles Pyrroles Receptor, Platelet-Derived Growth Factor alpha Treatment Outcome Triazines Tyrosine Kinase Inhibitors
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