Architectural deep-dive into FMI 3.0, FMU co-simulation, and model exchange for digital twins. When to choose each mode, multi-solver orchestration, and real-world integration patterns.
How machine learning and real-time inference transform digital twins from passive mirrors into proactive decision-making systems. Architecture, data pipelines, and industrial case studies.
How IoT sensors, AI diagnostics, digital twins, and EHR integration combine to measurably improve patient outcomes — architecture patterns and implementation steps.
Eight engineering facts about healthcare digital twins — computational models, FDA approval pathways, data fidelity requirements, real-time sync challenges, and validation pipelines.