AI-Driven Big Data Analytics for Personalized Medicine in Healthcare: Integrating Federated Learning, Blockchain, and Quantum Computing

Abstract

As Artificial Intelligence (AI) and Big Data continue to evolve at a rapid pace, personalised medicine in healthcare has undergone revolutionary changes. Despite these advancements, current AI-driven systems encounter substantial hurdles in security, scalability, and privacy, particularly when handling sensitive patient data across decentralised networks. This paper introduces an innovative AI-Driven Big Data Analytics Framework that incorporates Federated Learning, Blockchain technology, and Quantum Computing to enhance personalised medicine. The proposed architecture ensures robust data privacy, real-time analytics, and secure patient data sharing, leading to significant improvements in healthcare diagnostics, treatment planning, and prognosis prediction.