AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Anaplastic Lymphoma Kinase

Showing 1 to 5 of 5 articles

Clear Filters

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics 31058542
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Adult Aged Algorithms Anaplastic Lymphoma Kinase Carcinoma, Non-Small-Cell Lung DNA Mutational Analysis ErbB Receptors Female Genetic Testing Humans Kentucky Lung Neoplasms Machine Learning Male Middle Aged Mutation Natural Language Processing Population Surveillance Registries Reproducibility of Results SEER Program
View on PubMed DOI

The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer patients.

European journal of nuclear medicine and molecular imaging 32794105
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography (CT) images and clinicopathological information for predicting anaplastic lymphoma kinase (ALK) fusion status in non-small cell lung cancer (NSCLC) p...
Anaplastic Lymphoma Kinase Carcinoma, Non-Small-Cell Lung Deep Learning Humans Lung Neoplasms Protein Kinase Inhibitors Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.

Proceedings of the National Academy of Sciences of the United States of America 33674381
Kinases play important roles in diverse cellular processes, including signaling, differentiation, proliferation, and metabolism. They are frequently mutated in cancer and are the targets of a large number of specific inhibitors. Surveys of cancer gen...
Anaplastic Lymphoma Kinase Enzyme Activation Humans Machine Learning Molecular Dynamics Simulation Mutation Protein Conformation, alpha-Helical
View on PubMed DOI

Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 36057739
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key players in non-small cell lung cancer (NSCLC). Although their frequency is relatively low, their detection is important for patient care and guides thera...
Anaplastic Lymphoma Kinase Carcinoma, Non-Small-Cell Lung Deep Learning Eosine Yellowish-(YS) Gene Rearrangement Hematoxylin Humans In Situ Hybridization, Fluorescence Lung Neoplasms Oncogene Proteins, Fusion Protein-Tyrosine Kinases Proto-Oncogene Proteins
View on PubMed DOI

Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping.

Journal of biomedical informatics 40122479
OBJECTIVE: To illustrate the use of an ontology in evaluating data quality in the medical field, focusing on phenotyping lung cancers.
Anaplastic Lymphoma Kinase Biological Ontologies Data Accuracy Data Warehousing ErbB Receptors Humans Lung Neoplasms Mutation Phenotype Protein Kinase Inhibitors
View on PubMed DOI
Popular Topics
Recent Journals