Artificial intelligence in salivary biomarker discovery and validation for oral diseases
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial intelligence in salivary biomarker discovery and validation for oral diseases
Authors
Keywords
-
Journal
ORAL DISEASES
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-06-20
DOI
10.1111/odi.14641
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification
- (2023) Kountay Dwivedi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction
- (2022) Ibrahim M. El-Hasnony et al. SENSORS
- Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals
- (2022) Daniel C. Braz et al. TALANTA
- Salivary miRNAs as non-invasive biomarkers of hepatocellular carcinoma: a pilot study
- (2022) Arshiya Mariam et al. PeerJ
- Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma – A data mining approach
- (2022) Nattane Luíza da Costa et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Salivary Microbiota and Host-Inflammatory Responses in Periodontitis Affected Individuals With and Without Rheumatoid Arthritis
- (2022) Kaja Eriksson et al. Frontiers in Cellular and Infection Microbiology
- The Role of Artificial Intelligence in Early Cancer Diagnosis
- (2022) Benjamin Hunter et al. Cancers
- Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification
- (2022) Octav Ginghina et al. Frontiers in Oncology
- Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
- (2022) Bas H.M. van der Velden et al. MEDICAL IMAGE ANALYSIS
- Principal component analysis of salivary cytokines and hormones in the acute stress response
- (2022) Rebecca Ryznar et al. Frontiers in Psychiatry
- Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis
- (2022) John Adeoye et al. Cancers
- Explainable ensemble learning model improves identification of candidates for oral cancer screening
- (2022) John Adeoye et al. ORAL ONCOLOGY
- Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis
- (2021) John Adeoye et al. ORAL DISEASES
- A distinguishing profile of chemokines, cytokines and biomarkers in the saliva of children with Sjögren’s syndrome
- (2021) M Paula Gomez Hernandez et al. RHEUMATOLOGY
- A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors
- (2021) Liangyue Pang et al. Frontiers in Genetics
- Salivary Biomarkers of Stress, Anxiety and Depression
- (2021) Sylwia Chojnowska et al. Journal of Clinical Medicine
- Metabolic phenotyping of saliva to identify possible biomarkers of periodontitis using proton nuclear magnetic resonance
- (2021) Seonghye Kim et al. JOURNAL OF CLINICAL PERIODONTOLOGY
- A survey on active learning and human-in-the-loop deep learning for medical image analysis
- (2021) Samuel Budd et al. MEDICAL IMAGE ANALYSIS
- Machine Learning Approach Identified Multi-Platform Factors for Caries Prediction in Child-Mother Dyads
- (2021) Tong Tong Wu et al. Frontiers in Cellular and Infection Microbiology
- Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral Carcinogenesis
- (2021) Jiung-Wen Chen et al. Frontiers in Cellular and Infection Microbiology
- Geographic Variation Did Not Affect the Predictive Power of Salivary Microbiota for Caries in Children With Mixed Dentition
- (2021) Shanshan Li et al. Frontiers in Cellular and Infection Microbiology
- The Clinical Potential of Oral Microbiota as a Screening Tool for Oral Squamous Cell Carcinomas
- (2021) Xinxuan Zhou et al. Frontiers in Cellular and Infection Microbiology
- Microbiome of Saliva and Plaque in Children According to Age and Dental Caries Experience
- (2021) Eungyung Lee et al. Diagnostics
- Clinical Evaluation of Pathognomonic Salivary Protease Fingerprinting for Oral Disease Diagnosis
- (2021) Garrit Koller et al. Journal of Personalized Medicine
- Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey
- (2021) Linjing Liu et al. Life-Basel
- Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review
- (2021) John Adeoye et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Deep Stacking Network for Intrusion Detection
- (2021) Yifan Tang et al. SENSORS
- “Search less, verify more”—Reviewing salivary biomarkers in oral cancer detection
- (2020) John Adeoye et al. JOURNAL OF ORAL PATHOLOGY & MEDICINE
- Diagnostic accuracy of IL1β in saliva: The development of predictive models for estimating the probability of the occurrence of periodontitis in non‐smokers and smokers
- (2020) Nora Arias‐Bujanda et al. JOURNAL OF CLINICAL PERIODONTOLOGY
- The random forest algorithm for statistical learning
- (2020) Matthias Schonlau et al. Stata Journal
- Finding distinctions between oral cancer and periodontitis using saliva metabolites and machine learning
- (2020) Valentina L Kouznetsova et al. ORAL DISEASES
- Oral squamous cell carcinoma diagnosed from saliva metabolic profiling
- (2020) Xiaowei Song et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection
- (2020) John Adeoye et al. ACTA ONCOLOGICA
- Carcinogenesis of Male Oral Submucous Fibrosis Alters Salivary Microbiomes
- (2020) M.Y. Chen et al. JOURNAL OF DENTAL RESEARCH
- Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
- (2020) Nupur Biswas et al. Frontiers in Oncology
- Oral Microbiota Composition Predicts Early Childhood Caries Onset
- (2020) A. Grier et al. JOURNAL OF DENTAL RESEARCH
- Optimizing Filter-Based Feature Selection Method Flow for Intrusion Detection System
- (2020) Murtaza Ahmed Siddiqi et al. Electronics
- Semi-supervised learning to improve generalizability of risk prediction models
- (2019) Shengqiang Chi et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Minimally Invasive Approach for Diagnosing TMJ Osteoarthritis
- (2019) B. Shoukri et al. JOURNAL OF DENTAL RESEARCH
- Research Techniques Made Simple: Feature Selection for Biomarker Discovery
- (2019) Rodrigo Torres et al. JOURNAL OF INVESTIGATIVE DERMATOLOGY
- A Survey of Optimization Methods From a Machine Learning Perspective
- (2019) Shiliang Sun et al. IEEE Transactions on Cybernetics
- A web-based system for neural network based classification in temporomandibular joint osteoarthritis
- (2018) Priscille de Dumast et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Diagnosis of oral lichen planus from analysis of saliva samples using terahertz time-domain spectroscopy and chemometrics
- (2018) Yury V. Kistenev et al. JOURNAL OF BIOMEDICAL OPTICS
- Machine learning to detect signatures of disease in liquid biopsies – a user's guide
- (2018) Jina Ko et al. LAB ON A CHIP
- Targeted Proteomics Guided by Label-free Quantitative Proteome Analysis in Saliva Reveal Transition Signatures from Health to Periodontal Disease
- (2018) Nagihan Bostanci et al. MOLECULAR & CELLULAR PROTEOMICS
- Editorial: Use of Saliva in Diagnosis of Periodontitis: Cumulative Use of Bacterial and Host-Derived Biomarkers
- (2016) Ulvi K. Gursoy et al. Frontiers in Cellular and Infection Microbiology
- The functions of human saliva: A review sponsored by the World Workshop on Oral Medicine VI
- (2015) C. Dawes et al. ARCHIVES OF ORAL BIOLOGY
- Saliva proteome profiling reveals potential salivary biomarkers for detection of oral cavity squamous cell carcinoma
- (2015) Chih-Ching Wu et al. PROTEOMICS
- Insights into immune responses in oral cancer through proteomic analysis of saliva and salivary extracellular vesicles
- (2015) Flavia V. Winck et al. Scientific Reports
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples
- (2014) Yoshio Nakano et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Bacterial Profile of Dentine Caries and the Impact of pH on Bacterial Population Diversity
- (2014) Nima Kianoush et al. PLoS One
- Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning
- (2014) Debasis Chakraborty et al. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
- Analysis of sampling techniques for imbalanced data: An n=648 ADNI study
- (2013) Rashmi Dubey et al. NEUROIMAGE
- SNP-based Bayesian networks can predict oral mucositis risk in autologous stem cell transplant recipients
- (2013) ST Sonis et al. ORAL DISEASES
- Salivary Biomarkers for Detection of Systemic Diseases
- (2013) Nilminie Rathnayake et al. PLoS One
- Semi-supervised learning improves gene expression-based prediction of cancer recurrence
- (2011) Mingguang Shi et al. BIOINFORMATICS
- The Role of Bacteria in the Caries Process
- (2010) N. Takahashi et al. JOURNAL OF DENTAL RESEARCH
- Construction of a dental caries prediction model by data mining
- (2009) Yoh Tamaki et al. Journal of Oral Science
- Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design
- (2008) Margaret S. Pepe et al. JNCI-Journal of the National Cancer Institute
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now