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Assessment of multidrug-resistant Listeria monocytogenes in milk and milk product and One Health perspective

PloS one, 2022-07, Vol.17 (7), p.e0270993-e0270993

2022

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Antibiotic Resistance Profile of Listeria monocytogenes Recovered from Ready-to-Eat Foods Surveyed in South Africa

Journal of food protection, 2022-12, Vol.85 (12), p.1807-1814

2022

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Assessment of the molecular epidemiology and genetic multiplicity of Listeria monocytogenes recovered from ready-to-eat foods following the South African listeriosis outbreak

Scientific reports, 2022-11, Vol.12 (1), p.20129-11, Article 20129

2022

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Estimated incidence and Prevalence of noma in north central Nigeria, 2010-2018: A retrospective study

PLoS neglected tropical diseases, 2019-07, Vol.13 (7), p.e0007574-e0007574

2019

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Antimicrobial-Resistant Listeria monocytogenes in Ready-to-Eat Foods: Implications for Food Safety and Risk Assessment

Foods, 2023-03, Vol.12 (6), p.1346

2023

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Deep neural networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer

PloS one, 2024-09, Vol.19 (9), p.e0305268

2024

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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review

PloS one, 2024-07, Vol.19 (7), p.e0307531

2024

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Evaluating the association between lifetime physical activity and oral squamous cell carcinoma: A case-control study

PloS one, 2024-05, Vol.19 (5), p.e0303929-e0303929

2024

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Machine learning evaluation for identification of M-proteins in human serum

PloS one, 2024-04, Vol.19 (4), p.e0299600-e0299600

2024

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In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records

PloS one, 2024-01, Vol.19 (1), p.e0294362-e0294362

2024

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Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer

Journal of big data, 2023-12, Vol.10 (1), p.28-25, Article 28

2023

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Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review

Frontiers in oncology, 2022-12, Vol.12, p.976168-976168

2022

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Occurrence of Multidrug-Resistant Listeria monocytogenes in Environmental Waters: A Menace of Environmental and Public Health Concern

Frontiers in environmental science, 2021-10, Vol.9

2021

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Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders

Cancers, 2021-12, Vol.13 (23), p.6054

2021

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Rapid adsorptive removal of eosin yellow and methyl orange using zeolite Y

Scientific reports, 2023-12, Vol.13 (1), p.21373-21373, Article 21373

2023

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Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis

International journal of dentistry, 2023, Vol.2023, p.1-11

2023

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Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis

Cancers, 2022-10, Vol.14 (19), p.4935

2022

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High Levels of Multi Drug Resistant Escherichia coli Pathovars in Preharvest Environmental Samples: A Ticking Time Bomb for Fresh Produce Related Disease Outbreak

Frontiers in environmental science, 2022-03, Vol.10

2022

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‘The Double-Edged Sword’ – An hypothesis for Covid-19-induced salivary biomarkers

Medical hypotheses, 2020-10, Vol.143, p.110124-110124, Article 110124

2020

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A call for an established oral cancer classification by etiology and revision of related terminology

Oral diseases, 2022-04, Vol.28 (3), p.840-842

2022

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Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning

Journal of big data, 2023-12, Vol.10 (1), p.39-24, Article 39

2023

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Bayesian Disease Mapping for Head and Neck cancer in Queensland

International dental journal, 2023-09, Vol.73, p.S53-S54

2023

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Short-term survival of molar to molar transplantation in adolescents

The annals of African surgery, 2020, Vol.17 (1), p.11-15

2020

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Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review

International journal of medical informatics (Shannon, Ireland), 2021-10, Vol.154, p.104557-104557, Article 104557

2021

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“Search less, verify more”—Reviewing salivary biomarkers in oral cancer detection

Journal of oral pathology & medicine, 2020-09, Vol.49 (8), p.711-719

2020

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Assessment of multidrug-resistant Listeria monocytogenes in milk and milk product and One Health perspective

Antibiotic Resistance Profile of Listeria monocytogenes Recovered from Ready-to-Eat Foods Surveyed in South Africa

Assessment of the molecular epidemiology and genetic multiplicity of Listeria monocytogenes recovered from ready-to-eat foods following the South African listeriosis outbreak

Estimated incidence and Prevalence of noma in north central Nigeria, 2010-2018: A retrospective study

Antimicrobial-Resistant Listeria monocytogenes in Ready-to-Eat Foods: Implications for Food Safety and Risk Assessment

Deep neural networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer

Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review

Evaluating the association between lifetime physical activity and oral squamous cell carcinoma: A case-control study

Machine learning evaluation for identification of M-proteins in human serum

In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records

Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review

Occurrence of Multidrug-Resistant Listeria monocytogenes in Environmental Waters: A Menace of Environmental and Public Health Concern

Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders

Rapid adsorptive removal of eosin yellow and methyl orange using zeolite Y

Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis

Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis

High Levels of Multi Drug Resistant Escherichia coli Pathovars in Preharvest Environmental Samples: A Ticking Time Bomb for Fresh Produce Related Disease Outbreak

‘The Double-Edged Sword’ – An hypothesis for Covid-19-induced salivary biomarkers

A call for an established oral cancer classification by etiology and revision of related terminology

Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning

Bayesian Disease Mapping for Head and Neck cancer in Queensland

Short-term survival of molar to molar transplantation in adolescents

Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review

“Search less, verify more”—Reviewing salivary biomarkers in oral cancer detection

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