Chang leads assay and applications development at Takara Bio, driving the commercialization of novel spatial genomics products. She has extensive experience in single-cell multiomics technologies and ...
Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
Motor imagery electroencephalography (EEG) signals depict changes in brain activity during imagined limb movements. Conventional methods, however, often fail to capture these spatiotemporal variations ...
The visual cortex is the part of the brain that enables visual perception. In this area millions of nerve cells, called neurons, process stimuli from the outside world. They only react when objects ...
Researchers use AI "digital twins" to discover a new type of neuron in the visual cortex that perceives complex textures and object arrangements.
Age-related memory decline and neurodegenerative diseases like Alzheimer's are often thought of as irreversible. But the brain is not static; neurons continually adjust the strength of their ...
From a father–son engineering duo, the WOWCube is tactile play alongside spatial computing. Bridging STEM learning and gaming.
Environmental psychology has long shown that physical surroundings act as cognitive signals. Lighting, ceiling height, room temperature, and spatial layout all influence how the brain processes ...
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Distinct spatial tumor–immune ecosystems predict lung cancer treatment response
Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.
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Mapping the evolution of AI in organelle segmentation
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.
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