Selected Publications


  • Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study
    • Diagnostics 2025 🔗

  • Facilitating “Omics” for Phenotype Classification Using a User-Friendly AI-Driven Platform: Application in Cancer Prognostics
    • BioMedInformatics 2023 🔗

  • Predicting Cancer Prognostics from Tumour Transcriptomics Using an Auto Machine Learning Approach
    • Medical Sciences Forum 2023 🔗





    Empowering Biotech and Biomedical Research instituitions with state-of-the-art predictive modelling and bioinformatics solutions.