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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Glioma[original query]>>Original Studies[Product Type]
Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task.
Weina Jin et al. Artif Intell Med 2024 148102751
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Development and validation of a clinical prediction model for glioma grade using machine learning.
Mingzhen Wu et al. Technol Health Care 2024
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Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction.
Abhishek Mahajan et al. Explor Target Antitumor Ther 2023 4(4) 669-684
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A comprehensive genomic study of 390 H3F3A-mutant pediatric and adult diffuse high-grade gliomas, CNS WHO grade 4.
Erik A Williams et al. Acta Neuropathol 2023
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A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms.
Tao Chen et al. Front Neurosci 2023 171120781
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Significance of molecular diagnostics for therapeutic decision-making in recurrent glioma.
Jens Blobner et al. Neurooncol Adv 2023 5(1) vdad060
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Mismatch Repair Deficiency and Lynch Syndrome Among Adult Patients With Glioma.
Patrick R Benusiglio et al. JCO Precis Oncol 2023 7e2200525
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Deep Learning Approaches for Glioblastoma Prognosis in Resource-Limited Settings: A Study using Basic Patient Demographic, Clinical, and Surgical Inputs.
Marc Ghanem et al. World Neurosurg
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Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning.
Chenhua Luo et al. Front Neurol 2023 141100933
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SESN2 Could Be a Potential Marker for Diagnosis and Prognosis in Glioma.
Lingdan Xu et al. Genes 2023 14(3)
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Early-onset grade 2-3 diffuse gliomas and schwannomas increase the risk of central nervous system tumors among the patients' relatives.
Eljas Alanen et al. Neuro-oncology advances 2023 5(1) vdad008
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The Glioma-IRE project - Molecular profiling in patients with glioma: steps toward an individualized diagnostic and therapeutic approach.
Veronica Villani et al. Journal of translational medicine 2023 21(1) 215
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Integrated molecular and clinical analysis of BRAF-mutant glioma in adults.
Karisa C Schreck et al. NPJ precision oncology 2023 7(1) 23
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Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low-grade versus high-grade gliomas with machine learning.
Leonardo Ubaldi et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 107102538
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Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).
Abhishta Bhandari et al. Neuroradiology 2023
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Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study.
Du Peng et al. Journal of clinical medicine 2023 12(1)
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MYB/MYBL1::QKI fusion-positive diffuse glioma.
Suh Ye Yoon et al. Journal of neuropathology and experimental neurology 2023
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Hierarchical Voting-Based Feature Selection and Ensemble Learning Model Scheme for Glioma Grading with Clinical and Molecular Characteristics.
Tasci Erdal et al. International journal of molecular sciences 2022 23(22)
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DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection.
Latif Ghazanfar et al. Diagnostics (Basel, Switzerland) 2022 12(11)
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Integrated analysis of the genomic and transcriptional profile of gliomas with isocitrate dehydrogenase-1 and tumor protein 53 mutations.
Liu Han-Qing et al. International journal of immunopathology and pharmacology 2022 363946320221139262
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Grading of gliomas using transfer learning on MRI images.
Fasihi Shirehjini Oktay et al. Magma (New York, N.Y.) 2022
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MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
Haq Amin Ul et al. Journal of ambient intelligence and humanized computing 2022 1-12
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Prognostic risk stratification of gliomas using deep learning in digital pathology images.
Chunduru Pranathi et al. Neuro-oncology advances 2022 4(1) vdac111
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Clinical Laboratory Testing Practices in Diffuse Gliomas Prior to Publication of 2021 World Health Organization Classification of Central Nervous System Tumors.
Ramkissoon Shakti H et al. Archives of pathology & laboratory medicine 2022
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Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.
van der Voort Sebastian R et al. Neuro-oncology 2022
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Clinical Application of Comprehensive Genomic Profiling Tests for Diffuse Gliomas.
Omura Takaki et al. Cancers 2022 14(10)
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Multi-institutional study of the frequency, genomic landscape and outcome of IDH-mutant glioma in paediatrics.
Yeo Kee Kiat et al. Neuro-oncology 2022
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Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features.
Deng Da-Biao et al. Frontiers in neurology 2022 13866274
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Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma.
Karri Roshan et al. PloS one 2022 17(5) e0267931
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Association of Elevated Expression Levels of COL4A1 in Stromal Cells with an Immunosuppressive Tumor Microenvironment in Low-Grade Glioma, Pancreatic Adenocarcinoma, Skin Cutaneous Melanoma, and Stomach Adenocarcinoma.
Shin Hyo-Jae et al. Journal of personalized medicine 2022 12(4)
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 23, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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