Quantum AI enhanced blockchain security for drug discovery
Document Type
Conference Proceeding
Publication Date
1-2025
Meeting Name
9th International Conference on Innovation in Artificial Intelligence
Meeting Date
March 13-15, 2025
Meeting Location
Singapore
Abstract/ Summary
Traditional drug discovery methods face challenges such as long development timelines, high costs, and complex biological uncertainties. To overcome these issues, a novel approach is proposed, leveraging the computational prowess of quantum computing to perform complex simulations and data analyses, far beyond the capabilities of classical computing systems. This breakthrough enables more accurate predictions of drug efficacy, optimization of drug candidates, and a deeper understanding of drug-target interactions at the quantum level. Ethereum-based blockchain provides a secure and decentralized platform for storing and sharing data, safeguarding against unauthorized access and potential breaches. This combination of quantum computing and blockchain technology, supported by systems biology approaches, presents a multidisciplinary strategy to streamline the drug discovery pipeline. By providing a more efficient, secure, and precise method for identifying potential therapeutic compounds, this framework has the potential to significantly reduce the time and cost associated with bringing new drugs to market.