Machine Learning-Optimized Blockchain Protocols for Enhanced Data Integrity in Clinical Trials

Abstract

This article reports the findings of a comprehensive investigation that found blockchain technology developed for machine learning can improve clinical trial data security. This research was first submitted to Transactions on Blockchain Technology. Secure Decentralized Data Management System (SDDMS) that successfully addresses data stability, security, and privacy is possible. This is feasible. This makes switching to safer, more transparent medical data processing easy. Blockchain encryption, consensus-driven validation, and federated learning provide the secure and efficient management of patient personal information by the Secure Distributed Database Administration System (SDDMS). As a result, the clinical trial operating environment becomes more trustworthy and transparent. The suggested system has been successfully implemented, suggesting that it has the potential to revolutionize data management, foster collaborative research, and empower individuals to make better and more informed healthcare decisions. Blockchain and machine intelligence are likely to change trustworthy data management in clinical trials and other healthcare research. This is likely. Because this combination is likely to combine the two technologies.

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