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1 Introduction Optical sensing technologies underpin a wide range of modern scientific and technological applications, spanning fields from space exploration to optical biopsy and consumer devices (Tuchin 2016a, b). Despite this broad applicability, the performance of light-based methods is fundamentally limited in turbid media, where multiple scattering dominates light propagation. In such environments, randomization of light significantly modifies the measured reflectance, reducing contrast.
Abstract Health data exchange remains constrained by fragmentation, consent burden, limited auditability, and weak incentives. We propose STARFISH, a patient-governed agentic framework where personal health agents manage granular permissions, while institutional research agents request data or execute privacy-preserving analyses. Cryptographically verifiable mandates, automated compliance, and optional benefit sharing align incentives while preserving autonomy.
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