The use of scientific programming and digital twin technology is becoming increasingly prevalent in the medical sector due to their potential to provide solutions to many emerging issues. Scientific programming performs a crucial role in reducing the challenges of large data volume, complex systems, disease detection and advancing treatment in healthcare for proficient decision-making. In addition, scientific programming provides improved support for modern medical analysis, control, automation and workflow optimization, and improves public health outcomes. Digital twin technology has been effectively utilized in the complex field of modeling and simulation of biological systems. It is essential to drive optimized transformation of electronic medical records and high precision medicine in real-time.

Medical informatics is a form of next-generation computing comprised of tightly coupled systems of medical informatics systems including clinical decision-making, early detection of infection, disease prevention and rapid analysis of health hazards, among other aspects. With recent developments in artificial intelligence, it is now possible to create more realistic digital twins that accurately model different operating situations and characteristics to process medical informatics.

This Special Issue will focus on research targeting the development of scientific programming and digital twins in medical informatics. We welcome original research and review articles.

Potential topics include but are not limited to the following:

• Effective scientific programming to balance the requirements of healthcare systems
• Scientific programming and digital twins for intelligent applications in healthcare
• Real-time scientific programming and digital twins for optimized disease detection
• Scientific programming and digital twins for the reliability of clinical analysis
• Design of computational models for precision medicine and personalized treatment
• Digital twins and the internet of things (IoT) for smart healthcare monitoring
• Advances in deep learning and digital twins for diagnosis
• Digital-twin based medical imaging and clinical safety with efficient medical devices
• Performance evaluation of medical informatics-based on scientific programming
• Simulation-based digital twins and multiple models for secure telemedicine
• Recent research on bio-digital twins for efficient prediction of health condition
• Obstacles in healthcare interoperability and novel strategies to mitigate the risk