Secure Biomedical Data Sharing Networks Using A.I. and Blockchain

Security issues arise while handling, storing, and sharing this sensitive data due to the amount and complexity of biological data that is growing. When used and transferred across healthcare systems, digital biomedical data, including electronic health records, genetic data, medical imaging data, and other data, has to be subject to strict access restrictions and privacy safeguards. Traditional centralised databases and data sharing networks have caused trust issues since they lack transparency, are susceptible to security breaches, and are opaque. The development of more reliable and secure data exchange networks for biological data using blockchain technology is a potential direction. Blockchain creates decentralised ledgers that set restrictions on who may access data, make it easier for authorised parties to share, and guard against unauthorised access. An examination of blockchain-based systems for exchanging biological data is done in this body of work. Examples include MedRec, Nebula Genomics, Health Chain, and other technologies that set permissions, create audit trails, and let patients or researchers retain ownership over sensitive medical data as it is shared. Different blockchain technologies, such as hybrid models and private, public, and mixed blockchains, have different technical architectures. In addition, design decisions regarding consensus processes, encryption techniques, and on-chain vs off-chain storage vary. Benefits of blockchain-enabled biomedical data sharing include the capacity to follow data use downstream, the immutable recording of all data transactions, and the use of cryptographic methods to verify access rules are adhered to. Concerns about public blockchains' scalability, the absence of universal standards, and the ambiguity surrounding governmental frameworks are some of the current drawbacks. The literature on blockchain systems for the exchange of biological data is summarised in this overview. It may be possible to create more dependable, secure, decentralised sharing networks with further development and critical assessment of blockchain systems designed for medical data transmission. Blockchain technology might have a significant influence on clinical data interoperability and biological research if acceptance and technical constraints are overcome.