Reassessing the Performance of Large Language Models in Oral Health Questionnaires: Interpretative Considerations by Carlos M. Ardila, Pradeep Kumar Yadalam

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ChatGPT's Influence on Dental Education: Methodological Challenges and Ethical Considerations by Carlos M. Ardila, Pradeep Kumar Yadalam

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Enhanced hierarchical attention networks for predictive interactome analysis of LncRNA and CircRNA in oral herpes virus by Pradeep Kumar Yadalam, Carlos M. Ardila

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Deep Neural Networks Based on Sp7 Protein Sequence Prediction in Peri-Implant Bone Formation by Pradeep Kumar Yadalam, Carlos M. Ardila

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AI Revolutionizes Cellular Reprogramming of Periodontal Ligament by Pradeep Kumar Yadalam, Susmitha Munivel, Carlos M. Ardila

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Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study by Kishorwara Ramamoorthy, Devika S. Pillai, Pradeep Kumar Yadalam, Prasanthi Sitaraman

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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

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An explainable RoBERTa approach to analyzing panic and anxiety sentiment in oral health education YouTube comments by Pradeep Kumar Yadalam, Mohamed Thaha, Prabhu Manickam Natarajan, Carlos M. Ardila

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Assessing the role of PEKK implant material on cytotoxicity, inflammatory response, and molecular interactions with pro-inflammatory cytokines: An in-vitro and in-silico study by Amrutha Shenoy, Subhabrata Maiti, Selvaraj Jayaram, Pradeep kumar yadalam, Jessy Paulraj

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Gradient boosting-based classification of interactome hub genes in periimplantitis with periodontitis – an integrated bioinformatic approach by Pradeep Kumar Yadalam, Sarvagya Sharma, Prabhu Manickam Natarajan, Carlos M. Ardila

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Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Seyed Ali Mosaddad, Artak Heboyan

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Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

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Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Musab Hamed Saeed, Carlos M. Ardila

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A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

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Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheime... by Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

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Effect of microbubble as local drug delivery system in endodontic management - An In-Vitro study by V. Shyam Ganesh, K. Vijay Venkatesh, D. Sihivahanan, Pradeep Kumar Yadalam, Deepti Shrivastava, Kumar Chandan Srivastava

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Graph attention networks for predicting drug-gene association of glucocorticoid in oral squamous cell carcinoma: A comparison with GraphSAGE by Monal Yuwanati, Santhanamari Thiyagarajan, Kranti Kiran Reddy Ealla, Yash Jain, Pradeep Kumar Yadalam, Senthil Murugan Mullainathan, Anima Nanda, Samir Sahoo, Daniel Ejim Uti

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