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into mechanistic network models for use in a multi-scale COPD model Working closely with imaging and airflow modelling colleagues to combine molecular and anatomical simulation frameworks Delivering open-source
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, editing intents, and real-world conditions. The project will leverage advances in deep learning, multimodal representation learning, reinforcement learning, and image/video processing to develop novel
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distribution, compliance, and dynamic airway collapse Coupling airflow simulations to alveolar gas transport, diffusion, and blood-gas barrier transfer processes Integrating imaging-derived features with
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