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@article{198980,
        author = {M.Siddhartha and N.Hemanth Kumar and P.Manoj Kumar and P.Ganesh and Shivaprasad S},
        title = {AI- Driven Drug repurposing Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13100-13107},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198980},
        abstract = {New pharmaceutical drug discovery is resource-intensive with high risk, sometimes taking more than a decade of research with considerable financial investment. Drug repurposing provides an effective alternative to the identification of new therapeutic areas for existing drugs with established safety profiles. This paper describes a computational platform, named HEAL (Healthcare Exploration using Artificial Intelligence and Ledger), to accelerate and make secure the process of drug repurposing by integrating machine learning with blockchain technology. It leverages CNN and Random Forest algorithms for analyzing drug composition, molecular characteristics, gene interactions, and disease symptom similarities. Experimental evaluation reveals that CNN-based models perform considerably better with improved accuracy, precision, recall, and F1-score compared to conventional machine learning approaches. It incorporates blockchain technology to ensure transparent and tamper-proof collaboration in research based on immutable clinical trial records and research discussion storage through Ethereum-based smart contracts.},
        keywords = {Drug Repurposing, Artificial Intelligence, Machine Learning, Convolutional Neural Networks, Random Forest, Blockchain Technology, Smart Contracts, Drug–Disease.},
        month = {April},
        }