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models. By utilizing biobanks of lung biopsies and established animal models, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets
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to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
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passive/active approach to reduce the insertion loss, while arriving at a solution that is effectively manufacturable. The DC will focus on the vibro-acoustic modelling of structural vibrations and acoustic
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models. For the first time, this work will define PRDX1’s role as a modulator and redox relay hub in po-H₂O₂ signaling pathways. As PRDX1 is also emerging as a prognostic marker in solid tumors