An Integrated Modeling Framework for Predictive Airman Performance

The overall objective of the proposed project is to develop an integrated bioinformatics software framework for intelligent analysis of biomedical databases, generation of geometrical models for simulations from medical images, and modeling of human biomechanical and physiological performance. In phase I we will analyze the existing data sources and their contents for analysis of human body performance/injury and for generation of human body models. We will develop software interfaces to selected databases within the JCoBi human body modeling framework, correlate the data to existing CFDRC 3D human body models, and demonstrate extraction of medically relevant information. We will also formulate the framework for a novel “top-down” multiscale modeling of the human body that integrates systemic, organ, tissue, cellular and biochemical pathways. It will be demonstrated by simulating human body responses to typical airman physical stressors such as high-g acceleration, long term biomechanical loading on circulation, and body autoregulation responses to hypoxia. In phase I we will also design software framework for automated processing of multimodal images of human head/brain images and generation of 3D geometries and computational grids for modeling of brain diagnostics, injury, and treatment. The multiscale modeling of human body performance software will be integrated in phase II, tested, validated, and demonstrated on studies of airman responses and tolerances to stresses encountered during military missions.