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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Researchers at the University of California, Davis have developed a system of reusable, sterilizable 3D-printed surgical tools that enables safe, precise intraoperative deployment of Neuropixels probes within standard neurosurgical workflows.

A breakthrough one-wire EEG cap with embedded electrode chips provides ultra-sensitive, noise-immune, wide-band brain signal acquisition. It enables non-invasive, real-time, high-resolution recording using dry electrodes, ideal for wearable and clinical neuro-technology applications.