BlockDrugChain: A blockchain and ML-driven framework for scalable drug discovery management

The discovery of new drugs is a collaborative effort that involves researchers, pharmaceutical companies, and regulators. Cyberattacks, data tampering, and a lack of transparency are all common problems in today's centralised systems. This paper suggests using Hyperledger Fabric-based blockchain technology to increase the efficiency, transparency, and safety of drug discovery. The straightforward user interface makes it easy to upload, update, and validate data. Each contributor is granted a unique ID using SHA-256, which protects the data. With the use of machine learning, data is improved and people are empowered to make better decisions. To expedite verification, critical metadata is stored on-chain, while large files are stored off-chain. Custom smart contracts safeguard your data and transfer ownership to you. According to performance studies, it can process up to 365 transactions per second, making it ideal for large-scale collaboration. An alternative to traditional drug discovery approaches that is both modern and decentralised is offered by this idea.