Light-based sensors detect extremely low levels of traumatic brain injury biomarkers
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Updates every hour. Last Updated: 30-Oct-2026 19:15 ET (30-Oct-2026 23:15 GMT/UTC)
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer’s disease, and other potentially fatal conditions.
Researchers from the University of Waterloo developed the machine learning algorithm, called RNovA, to detect changes in the proteins in human cells.
A research paper by scientists from Tsinghua University presented a novel text sequence stimulation paradigm that combines periodic visual stimulation with orthographic information and elicits distinct occipital and occipitotemporal scalp response patterns relative to conventional brightness flicker.
The new research paper, published on Jun. 15 in the journal Cyborg and Bionic Systems, developed a novel text sequence stimulation paradigm that dramatically improves user comfort without sacrificing performance.
A review paper by scientists from Shenzhen University compared 2 complementary technology paths: “tethered” catheter systems designed for rapid and operator-controlled reopening of large vessels, and “untethered” micro/nanoscale systems, including injectable carrier-based platforms and actively actuated micro/nanorobots, that can be actuated and guided by magnetic, ultrasound, or light energy to seek, penetrate, and disrupt clots at the microscale.
The new research paper, published on Jun. 5 in the journal Cyborg and Bionic Systems, compared two complementary technology paths – “tethered” catheter systems and “untethered” micro/nanorobotic platforms – and outlines how their integration under imaging guidance could transform thrombus recanalization.