Boosting biomedical research with the integration of blockchain and AI

Abstract

Patients, researchers, service providers, and regulators are just some of the groups who will face opportunities and problems brought on by the expanding availability of data and advances in artificial intelligence. The use of deep learning and transfer learning technologies can turn ordinary videos and still photos of faces into rich sources of data for predictive analytics. Patients are unable to view their medical records, thus they are not aware of the significance of the information that they hold. This chapter provides an overview of biomedical research, focusing on the topics of artificial intelligence (AI) and blockchain technology. Efforts are being made to enhance biomedical research by exploring novel methods for managing patient data and introducing benefits for continuous health monitoring. This chapter discusses novel approaches to analyzing personal records, including data integration, immediate considerations, and the significance of relationships. Decentralized health data networks powered by blockchain will facilitate advancements in medical discovery, biomarker generation, and preventative healthcare provision. Individuals may be able to regain control of their data, particularly medical information if a global personal data marketplace is created that is both secure and transparent. It might be made possible by technologies such as blockchain and deep learning.

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