Journal of Information Systems Engineering and Management

This special issue aims to highlight the latest advancements and emerging trends in the application of intelligent systems across a broad spectrum of fields, including healthcare, technology, and security. The collection of research papers delves into innovative solutions, methodologies, and techniques developed to address contemporary challenges. Key areas of focus include high-sensitivity biosensors for non-invasive diagnostics, intelligent systems for disease monitoring, deep learning models for medical imaging, and cybersecurity strategies for emerging technologies. The issue also explores novel machine learning models for predictive analytics, blockchain applications in healthcare, and advancements in energy-efficient cloud computing. The convergence of AI with real-world applications in healthcare and technology showcases a holistic approach to problem-solving, offering transformative solutions that have far-reaching implications for societal well-being and technological advancement.

The scope of this special issue includes but is not limited to:

• Non-Invasive Diagnostics: High-sensitivity biosensors, liquid biopsy technologies, and microfluidic chips for improved clinical diagnosis and monitoring of diseases such as CML, liver disease, heart disease, and chronic kidney disease.

• Machine Learning and AI in Healthcare: Predictive modeling, classification techniques, and deep learning applications for disease detection and patient monitoring across various domains like cardiology, oncology, and nephrology.

• Medical Imaging and Diagnosis: Multi-modal fusion techniques, intelligent diagnostic systems, and computer-aided solutions for enhanced accuracy in medical imaging, including CT scans, MRIs, and X-rays.

• Cybersecurity and Network Security: Machine learning techniques for intrusion detection, reinforcement learning for energy optimization in cloud computing, and AI-driven approaches to network traffic security.

• Blockchain and Trust Systems: Innovative blockchain protocols for healthcare data security, scaling solutions, and practical Byzantine fault tolerance algorithms.

• Technological Advancements in Education and Vocational Training: AI, machine learning, and educational technology in vocational training, student performance predictions, and curriculum enhancements.

• Sustainability and Environmental Impact of AI: Investigating the ecological footprint of artificial intelligence and leveraging AI to enhance sustainability in sectors like agriculture, energy, and industrial processes.

This special issue will offer a comprehensive view of how intelligent systems are shaping diverse fields, driving innovation, and improving outcomes in healthcare, technology, and security.