المجلة الدولية للعلوم والتقنية

The integration of Blockchain technology with Artificial Neural Networks (ANNs) presents a promising advancement in predictive modeling by enhancing security, transparency, and accuracy. Blockchain ensures data integrity through decentralized and tamper-proof storage, while ANNs leverage deep learning algorithms for improved pattern recognition and decision-making. This paper explores the impact of combining these technologies, particularly in critical sectors such as healthcare, finance, and cybersecurity.Despite their advantages, several challenges hinder their seamless integration. Blockchain introduces computational overhead, scalability limitations, and regulatory concerns, while ANNs require vast datasets, making them vulnerable to adversarial attacks and biased learning. This study highlights solutions such as federated learning, hybrid blockchain architectures, and optimized cryptographic techniques to address these challenges. Future research should focus on enhancing computational efficiency, developing scalable frameworks, and establishing regulatory standards to facilitate broader adoption. By overcoming these barriers, Blockchain-ANN integration can revolutionize predictive analytics, providing secure, efficient, and intelligent decision-making systems across various industries............. Keywords:.......... Blockchain, Artificial Neural Networks (ANNs), Predictive Modeling, Security, Scalability, AI Integration.