Olawade, David
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Lucero-Prisno, Don Eliseo
ORCID: https://orcid.org/0000-0002-2179-6365, Okesanya, Olalekan John ORCID: https://orcid.org/0000-0002-3809-4271, Agboola, Abdulmajeed Opeyemi ORCID: https://orcid.org/0009-0008-6684-6224, Adebayo, Uthman Okikiola ORCID: https://orcid.org/0009-0000-2000-7451, Adigun, Olaniyi Abideen ORCID: https://orcid.org/0000-0002-2375-6375, Ahmed, Mohamed Mustaf ORCID: https://orcid.org/0009-0006-5991-4052, Olaleke, Noah Olabode ORCID: https://orcid.org/0000-0001-7070-276X, Oso, Tolutope Adebimpe ORCID: https://orcid.org/0000-0003-3587-9767, Tan, Maria Ivy Rochelle S. ORCID: https://orcid.org/0000-0003-4057-161X, Ogaya, Jerico Bautista ORCID: https://orcid.org/0009-0005-3595-8643, Ayelaagbe, Oluwatobi Babajide ORCID: https://orcid.org/0009-0009-2172-2866 and Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836
(2025)
Emerging technologies and innovative approaches to combat antimicrobial resistance: A narrative review of next-generation therapeutic strategies.
Next Bioengineering, 1.
p. 100003.
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Soladoye, Afeez Adekunle, Aderinto, Nicholas, Osho, Damilola and Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836
(2025)
Explainable machine learning models for early Alzheimer's disease detection using multimodal clinical data.
International journal of medical informatics, 204.
p. 106093.
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Esan, Adebimpe O., Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836, Soladoye, Afeez A., Omodunbi, Bolaji A., Adeyanju, Ibrahim A. and Aderinto, Nicholas
(2025)
Explainable AI for Parkinson’s Disease Prediction: A Machine Learning Approach with Interpretable Models.
Current Research in Translational Medicine.
p. 103541.
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Clement David-Olawade, Aanuoluwapo, Wada, Ojima Z., Adeniji, Yinka Julianah ORCID: https://orcid.org/0000-0001-5809-4888, Aderupoko, Ibukunoluwa Victoria and Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836
(2025)
Artificial intelligence readiness among healthcare students in Nigeria: A cross-sectional study assessing knowledge gaps, exposure, and adoption willingness.
International Journal of Medical Informatics, 204.
p. 106085.
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Da’Costa, Adebayo, Teke, Jennifer, Origbo, Joseph E., Madla, Clarissa, Osonuga, Ayokunle and Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836
(2025)
The role of artificial intelligence in blood-borne virus opt-out testing in emergency departments.
International Journal of Medical Informatics, 204.
p. 106086.
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Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836, Oisakede, Emmanuel O., Egbon, Eghosasere, Ovsepian, Saak V. ORCID: https://orcid.org/0000-0002-9522-4159 and Boussios, Stergios ORCID: https://orcid.org/0000-0002-2512-6131
(2025)
Immune Organoids: A Review of Their Applications in Cancer and Autoimmune Disease Immunotherapy.
Current Issues in Molecular Biology, 47 (8).
p. 653.
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David-Olawade, Aanuoluwapo Clement, Aderinto, Nicholas, Egbon, Eghosasere, Olatunji, Gbolahan Deji, Kokori, Emmanuel and Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836
(2025)
Enhancing Endoscopic Precision: The Role of Artificial Intelligence in Modern Gastroenterology.
Journal of Gastrointestinal Surgery.
p. 102195.
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Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836, Clement David-Olawade, Aanuoluwapo, Rotifa, Oluwayomi B. and Wada, Ojima Z.
(2025)
Artificial intelligence in Nigerian nursing education: Are future nurses prepared for the digital revolution in healthcare?
Nurse Education in Practice, 87.
p. 104511.
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Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836, Soladoye, Afeez A, Omodunbi, Bolaji A, Aderinto, Nicholas and Adeyanju, Ibrahim A
(2025)
Reply to letter to the editor: Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection- ethical and transparency considerations in AI-based CAD prediction.
International journal of cardiology, 439.
p. 133654.
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Olawade, David ORCID: https://orcid.org/0000-0003-0188-9836, Oladipo, Pelumi ORCID: https://orcid.org/0009-0002-2862-2998, Ajisafe, Olawale, Egbon, Eghosasere, Fapohunda, Oluwaseun ORCID: https://orcid.org/0000-0001-6545-3471 and Kade, Ayomikun
(2025)
Genetically Engineered Microorganisms: A Promising Frontier for PFAS Bioremediation.
Process Safety and Environmental Protection, 202 (Part A).
p. 107699.
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