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A novel class of bioinspired photo-initiators enabling visible light-driven polymer gelation that improves cell-biomaterial compatibility across thicker tissues.

Researchers at the University of California, Davis have developed a computer-implemented method for accurately classifying congenital heart defects in newborns using pulse oximetry and machine learning.

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A mechanically adaptive hydrogel that changes color in response to force exerted by living cells, enabling force sensing through optical signals.

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A novel 3D bioprintable hydrogel platform enables precise spatial delivery of biochemical gradients to engineer in vitro tissue models with area-specific identities.

A multimodal, wireless wearable device enabling continuous and detailed stress assessment and subclassification.

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CAPTaINs provide a novel, selective, and stable method for selective degradation of protein targets.

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