AIMC Topic: Proto-Oncogene Proteins B-raf

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Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological Slides.

International journal of molecular sciences Jan 28, 2023
Thyroid cancer is the most common endocrine cancer. Papillary thyroid cancer (PTC) is the most prevalent form of malignancy among all thyroid cancers arising from follicular cells. Fine needle aspiration cytology (FNAC) is a non-invasive method regar...
Humans Precision Medicine DNA Mutational Analysis Carcinoma, Papillary Thyroid Cancer, Papillary Proto-Oncogene Proteins B-raf Biomarkers, Tumor Deep Learning Thyroid Neoplasms Mutation
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Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas.

The Journal of investigative dermatology Oct 30, 2021
Image-based analysis as a method for mutation detection can be advantageous in settings when tumor tissue is limited or unavailable for direct testing. In this study, we utilize two distinct and complementary machine-learning methods of analyzing who...
Humans Proto-Oncogene Proteins B-raf Melanoma Deep Learning Mutation Cell Nucleus
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Weakly supervised learning on unannotated H&E-stained slides predicts BRAF mutation in thyroid cancer with high accuracy.

The Journal of pathology Sep 14, 2021
Deep neural networks (DNNs) that predict mutational status from H&E slides of cancers can enable inexpensive and timely precision oncology. Although expert knowledge is reliable for annotating regions informative of malignancy and other known histolo...
Staining and Labeling Mutation Proto-Oncogene Proteins B-raf Male Middle Aged Thyroid Neoplasms Humans Neural Networks, Computer Female Aged Adult
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Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer.

PloS one Nov 25, 2020
PURPOSE: To investigate whether a computer-aided diagnosis (CAD) program developed using the deep learning convolutional neural network (CNN) on neck US images can predict the BRAFV600E mutation in thyroid cancer.
Mutation Carcinoma, Papillary Proto-Oncogene Proteins B-raf Diagnosis, Computer-Assisted Thyroid Gland Thyroid Neoplasms Thyroid Nodule Adult Male Middle Aged Artificial Intelligence Humans Tomography, X-Ray Computed Female Aged
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Detection of the BRAF V600E Mutation in Colorectal Cancer by NIR Spectroscopy in Conjunction with Counter Propagation Artificial Neural Network.

Molecules (Basel, Switzerland) Jun 15, 2019
This paper proposes a sensitive, sample preparation-free, rapid, and low-cost method for the detection of the B-rapidly accelerated fibrosarcoma (BRAF) gene mutation involving a substitution of valine to glutamic acid at codon 600 (V600E) in colorect...
Colorectal Neoplasms DNA Mutational Analysis Humans Spectroscopy, Near-Infrared Amino Acid Substitution Mutation Proto-Oncogene Proteins B-raf Neural Networks, Computer Alleles Reproducibility of Results
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From word models to executable models of signaling networks using automated assembly.

Molecular systems biology Nov 24, 2017
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
Sulfonamides Indoles Enzyme Inhibitors Drug Resistance, Neoplasm Tumor Suppressor Protein p53 Proto-Oncogene Proteins p21(ras) Proto-Oncogene Proteins B-raf Vemurafenib Models, Genetic Signal Transduction Computer Simulation Natural Language Processing Humans DNA Damage Language Neural Networks, Computer Antineoplastic Agents Melanoma Cell Line, Tumor Skin Neoplasms Gene Expression Regulation, Neoplastic
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Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Journal of biomedical informatics Feb 2, 2016
OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opportunity for the implementation of Rapid Learning Systems (RLSs) that leverage primary clinical data for real-time decision support. In cancer, where ...
Electronic Health Records Melanoma User-Computer Interface Patient Selection Decision Support Systems, Clinical Humans Proto-Oncogene Proteins B-raf Machine Learning Software
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New approach of prediction of recurrence in thyroid cancer patients using machine learning.

Medicine Oct 22, 2021
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several factors are associated with a higher risk of recurrence, such as extrathyroidal extension, nodal metastasis, and BRAF gene mutation. However, predicting...
Humans Machine Learning Algorithms Thyroid Cancer, Papillary Proto-Oncogene Proteins B-raf Sex Factors Tumor Burden Thyroglobulin Middle Aged Thyroidectomy Thyroid Neoplasms Body Mass Index Lymphatic Metastasis Prognosis Aged Age Factors Female Young Adult Neoplasm Recurrence, Local Reproducibility of Results Adult Iodine Radioisotopes Male
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Machine learning from concept to clinic: reliable detection of BRAF V600E DNA mutations in thyroid nodules using high-dimensional RNA expression data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2015
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samples. Measurement of DNA mutations is increasingly common in clinical settings but only higher-preval...
High-Throughput Nucleotide Sequencing DNA Mutational Analysis Biopsy, Fine-Needle Thyroid Nodule DNA, Neoplasm Humans Computational Biology Machine Learning Oligonucleotide Array Sequence Analysis Support Vector Machine Gene Expression Profiling Proto-Oncogene Proteins B-raf Mutation RNA, Neoplasm
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