Oral Cancer
What's New
Last Posted: May 07, 2024
- Survival estimation of oral cancer using fuzzy deep learning.
Rachasak Somyanonthanakul et al. BMC Oral Health 2024 24(1) 519 - Deep learning in oral cancer- a systematic review.
Kritsasith Warin et al. BMC Oral Health 2024 24(1) 212 - Identification of gene profiles related to the development of oral cancer using a deep learning technique.
Leili Tapak et al. BMC medical genomics 2023 16(1) 35 - Liquid Biopsy for Oral Cancer Diagnosis: Recent Advances and Challenges
Y Naito et al, J Per Med, February 8, 2023 - Deep learning-based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia.
Xinyi Zhang et al. Cancer medicine 2023 - Explainable ensemble learning model improves identification of candidates for oral cancer screening.
Adeoye John et al. Oral oncology 2022 136106278 - Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification.
Bourdillon Alexandra T et al. The Laryngoscope 2022 - Cytogenetics in Oral Cancer: A Comprehensive Update.
Sv Sowmya et al. The journal of contemporary dental practice 2022 23(1) 123-131 - The Fagerström and AUDIT Tests as Probable Screening Tools in Oral Cancer and Their Correlation with CYP1A1, GSTM1, GSTP1, and GSTT1 Gene Expression.
Bandeira Celso Muller et al. International journal of environmental research and public health 2022 19(7) - Artificial intelligence - can it be used to outsmart oral cancer?
Baniulyte G et al. Evidence-based dentistry 2022 23(1) 12-13 - The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer.
Banavar Guruduth et al. NPJ genomic medicine 2021 6(1) 105 - End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions.
Caughlin Kayla et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 20213894-3897 - Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
Warin Kritsasith et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2021 - Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
Alabi Rasheed Omobolaji et al. Artificial intelligence in medicine 2021 115102060 - The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer.
Ilhan Betul et al. Oral oncology 2021 116105254 - Application of artificial intelligence and machine learning for prediction of oral cancer risk.
Alhazmi Anwar et al. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology 2021 Jan - Revisiting the metallothionein genes polymorphisms and the risk of oral squamous cell carcinoma in a Brazilian population.
Rosa R-R et al. Medicina oral, patologia oral y cirugia bucal 2020 Dec - Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival.
Hung Man et al. World journal of clinical oncology 2020 Nov 11(11) 918-934 - Development of a Machine Learning Model for Survival Risk Stratification of Patients With Advanced Oral Cancer
YJ Tseng et al, JAMA Network Open, August 21, 2020 - IGF2BP2 Polymorphisms Are Associated with Clinical Characteristics and Development of Oral Cancer.
Chou Chia-Hsuan et al. International journal of molecular sciences 2020 Aug 21(16)
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Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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