AIMC Topic: Proto-Oncogene Proteins p21(ras)

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Radiogenomic and Deep Learning Network Approaches to Predict Mutation from Radiotherapy Plan CT.

Anticancer research Aug 1, 2021
BACKGROUND/AIM: We aimed to investigate the role of radiogenomic and deep learning approaches in predicting the KRAS mutation status of a tumor using radiotherapy planning computed tomography (CT) images in patients with locally advanced rectal cance...
Humans Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Genomics Mutation Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Proto-Oncogene Proteins p21(ras)
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Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Molecular imaging and biology Aug 1, 2020
PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the...
Humans Machine Learning Algorithms Female Aged Male Lung Neoplasms Genomics Carcinoma, Non-Small-Cell Lung Multimodal Imaging Area Under Curve Mutation Positron-Emission Tomography High-Throughput Nucleotide Sequencing Multivariate Analysis ErbB Receptors Proto-Oncogene Proteins p21(ras)
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