AIMC Topic: Proto-Oncogene Proteins c-kit

Clear Filters Showing 1 to 5 of 5 articles

A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.

The Journal of pathology Feb 14, 2025
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...
Middle Aged Deep Learning Aged Male Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Imatinib Mesylate Treatment Outcome Mutation Humans Female Proto-Oncogene Proteins c-kit Tyrosine Kinase Inhibitors Pyrazoles Protein Kinase Inhibitors Receptor, Platelet-Derived Growth Factor alpha Pyrroles Triazines
View on PubMed DOI

Artificial intelligence can be trained to predict -11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides.

Veterinary pathology Oct 18, 2024
Numerous prognostic factors are currently assessed histologically and immunohistochemically in canine mast cell tumors (MCTs) to evaluate clinical behavior. In addition, polymerase chain reaction (PCR) is often performed to detect internal tandem dup...
Staining and Labeling Mutation Animals Deep Learning Proto-Oncogene Proteins c-kit Eosine Yellowish-(YS) Hematoxylin Artificial Intelligence Dogs Sensitivity and Specificity Dog Diseases
View on PubMed DOI

Machine Learning on DNA-Encoded Libraries: A New Paradigm for Hit Finding.

Journal of medicinal chemistry Jun 11, 2020
DNA-encoded small molecule libraries (DELs) have enabled discovery of novel inhibitors for many distinct protein targets of therapeutic value. We demonstrate a new approach applying machine learning to DEL selection data by identifying active molecul...
Estrogen Receptor alpha Epoxide Hydrolases Small Molecule Libraries Proto-Oncogene Proteins c-kit Ligands Protein Kinase Inhibitors Drug Discovery DNA Neural Networks, Computer
View on PubMed DOI

Node-based differential network analysis in genomics.

Computational biology and chemistry Apr 4, 2017
Gene dependency networks often undergo changes in response to different conditions. Understanding how these networks change across two conditions is an important task in genomics research. Most previous differential network analysis approaches assume...
Machine Learning Female Gene Regulatory Networks Genomics Breast Neoplasms Humans Receptor, Notch1 Proto-Oncogene Proteins c-kit Shc Signaling Adaptor Proteins Ovarian Neoplasms 3-Phosphoinositide-Dependent Protein Kinases Insulin Receptor Substrate Proteins
View on PubMed DOI

Effect of imatinib on growth of experimental endometriosis in rats.

European journal of obstetrics, gynecology, and reproductive biology Dec 25, 2015
OBJECTIVE: Currently, medical and surgical treatment options for endometriosis are limited due to suboptimal efficacy, and also safety and tolerance issues. Long-term use of gonadotrophin-releasing hormone analogs, androgenes, and the danazol, which ...
Proto-Oncogene Proteins c-kit Angiogenesis Inhibitors Triazoles Anastrozole Endometrium Peritoneal Diseases Transplantation, Autologous Disease Models, Animal bcl-2-Associated X Protein Endometriosis Rats Peritoneum Vascular Endothelial Growth Factor A Cell Proliferation Female Imatinib Mesylate Aromatase Inhibitors Nitriles Animals Ovarian Follicle
View on PubMed DOI
Popular Topics
Recent Journals