A groundbreaking study has revealed that glioblastoma cells behave differently depending on whether they cluster or disperse.
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Rice researchers create novel metamaterial that can potentially revolutionize implantable, ingestible devices
Researchers led by Rice’s Yong Lin Kong have developed a soft but strong metamaterial that can be controlled remotely to rapidly transform its size and shape.
AI model offers accurate and explainable insights to support autism assessment
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for autism.
The model, outlined in a study published in eClinicalMedicine, was used to analyze resting-state fMRI data—a non-invasive method that indirectly reflects brain activity via blood-oxygenation changes.
In doing so, the model achieved up to 98% cross-validated accuracy for Autism Spectrum Disorder (ASD) and neurotypical classification and produced clear, explainable maps of the brain regions most influential to its decisions.
Shape-shifting material could transform future of implantable and ingestible medical devices
Researchers led by Rice University’s Yong Lin Kong have developed a soft but strong metamaterial that can be controlled remotely to rapidly transform its size and shape.
The invention, published in Science Advances, represents a significant advancement that can potentially transform ingestible and implantable medical devices.
Metamaterials are synthetic constructs that exhibit unusual properties not typically found in natural materials. Instead of relying solely on chemical composition, the effective behavior of these materials is primarily determined by the physical structure, i.e., the specific shape, arrangement and scale of their building blocks.
‘Rhythm beats volume’: How the brain keeps the world looking familiar
The brain is famously plastic: Neurons’ ability to change their behavior in response to new stimuli is what makes learning possible. And even neurons’ response to the same stimuli changes over time—a phenomenon known as representational drift. Yet our day-to-day perception of the world is relatively stable. How so?
Resolving such puzzles matters for future brain-computer interfaces, sensory prostheses and therapies for neurological disease. On a quest for an answer, Rice University scientists have built ultraflexible probes thousands of times thinner than a human hair and used them to track neurons in the visual cortex of mice for 15 consecutive days as the animals viewed thousands of images—from line patterns to pictures of the natural world.
The devices, called nanoelectronic threads (NETs), embed seamlessly with brain tissue, allowing for high-fidelity chronic recordings of brain activity.