RWD Instrument Helps KIST Researchers in Neural Interface Breakthrough

Rice University created vibrations so powerful they can detect thoughts through walls. Rice University scientists have discovered a way to make tiny vibrations, called phonons, interfere with each other more strongly than ever before. Using a special sandwich of silver, graphene, and silicon carbide, they created a record-breaking effect so sensitive it can detect biological processes through solid barriers. These quantum vibrations are so precise they can measure brain activity, heartbeats, and even cellular metabolism from outside the body without any physical contact. The breakthrough uses quantum interference between sound waves at the atomic level, amplifying detection sensitivity by 10,000 times compared to current medical imaging technology. This "quantum stethoscope" could revolutionize medicine by detecting diseases before symptoms appear, monitoring brain activity in real-time, and even reading thoughts through non-invasive measurement of neural electrical activity. The technology works by detecting microscopic vibrations caused by biological processes, essentially allowing doctors to "hear" what's happening inside patients' bodies with unprecedented precision. #Rice #University #Phonons #Quantum #Vibrations #Medical #Imaging #Brain #Activity #Detection #Non #Invasive

📣MathWorks welcomes Neuralynx to the Connections program for #Netcom, a #neuroscience API to connect #Cheetah and #Pegasus to #MATLAB for customization of electrophysiology recording and experiment control software applied to neural signal processing, display, recording, and network data distribution 🔬. The MathWorks Connections Program includes commercially offered products and services that complement #MATLAB and #Simulink. https://spr.ly/6046fca7E

vCortical Labs' CL1, a revolutionary biological computer, integrates living human brain cells grown on silicon chips, aiming for adaptable and energy-efficient computing; this "Synthetic Biological Intelligence" (SBI) utilizes a "Biological Intelligence Operating System" (biOS) and holds potential for medical research, robotics, and cloud computing, while raising crucial ethical considerations about sentience. #BiologicalComputing #AI #NeuralNetworks #futuretech #ArtificialIntelligence #Neuroscience #BioTech #CorticalLabs #CL1 #SyntheticBiology #EthicalAI

What really makes our cell membranes flexible? A new study reveals that it’s not the type of lipid that matters—but how tightly they’re packed. . Discover how scientists used neutron and X-ray techniques to finally decode this mystery, with powerful implications for drug delivery, artificial cells, and biomaterial design. . Read the full article on Quantum Server Networks: https://lnkd.in/eiMn6rRi . #MembraneBiophysics #LipidPacking #CellFlexibility #Biomaterials #ArtificialCells #DrugDelivery #XRayScattering #SoftMatterPhysics #NatureCommunications #QuantumServerNetworks #PWmat

Quantum sensors meet biology A new study in PNAS (Aug 25, 2025) by Min Li, Qi Zhang et al. shows how a single nitrogen-vacancy (NV) center in diamond can be used to detect biomolecular interactions — without labels, bulk optics, or ensemble averaging. >> https://lnkd.in/g2YNfRVr How it works: NV centers are atomic-scale defects in diamond that behave like tiny quantum sensors. Researchers measured the NV’s spin-lattice relaxation time (T₁). When molecules bind near the NV surface, they change the local magnetic noise environment, which shifts T₁. Tracking those shifts gives a direct readout of binding/unbinding events at nanometer distances, all at room temperature. Why it matters: This approach brings molecular interaction assays down to the single-sensor level, potentially enabling: Chip-scale bioassays with minimal sample prep. Mechanistic studies of protein–protein or drug–target interactions in their native states. A path to merging quantum sensing with next-gen biomedical diagnostics. This is a glimpse of how quantum technology is moving beyond physics labs into biology and medicine — opening possibilities for nanoscale diagnostics and ultra-sensitive interaction studies.

I would like to share with all researchers in myoelectric control very interesting findings about the role of EMG temporal dynamics in enhancing the robustness of decoding the user intention, presented in our latest study entitled "Novel Gait Phases Recognition Framework Leveraging The Temporal Structure Of The Myoelectric Activity" published in IOP Journal of Neural Engineering! 🦿🚶♂️ https://lnkd.in/gfqHgBGE Our work introduces two innovative frameworks: Temporal Activation Profile (TAP): considers a certain interval containing several EMG windows. Dual Activation Shots (DAS): considers two timely-spaced EMG windows. 🔑 Key highlights: ✅ TAP & DAS outperformed conventional methods, achieving over 87% accuracy in healthy subjects. ✅ DAS offers a superb balance of high performance and low computational demand, with its optimal performance using 160 ms spaced windows. This suggests that feeding the window from the past, on approximately the order of the electromechanical delay, carries significant information about the current state of motion. ✅ Both frameworks proved highly effective in experiments with transfemoral amputees, demonstrating strong clinical transferability. This research paves the way for more intuitive, reliable, and safe myoelectric control of prosthetic limbs. This work is a collaboration between Università Politecnica delle Marche, University of Baghdad, Roessingh Research and Development, University of Twente, and Radboudumc. Sincere gratitude to all my co-authors: Andrea Tigrini, Rami Khushaba, Ali H. Al-Timemy, Erik Prinsen, Federica Verdini, Ruud Leijendekkers, Sandro Fioretti, Laura Burattini, and Alessandro Mengarelli. #Prosthetics #RehabEngineering #EMG #MyoelectricControl #Biomechanics #AssistiveTechnology #Neuroengineering #GaitAnalysis #MachineLearning #HealthcareInnovation

The LCLS-II upgrade at SLAC boosts pulse rates from 120 to 1 million per second, enabling advanced tools like qRIXS, chemRIXS, and DREAM to capture atomic-scale “movies” in seconds instead of days. This leap opens new possibilities in quantum materials research, chemistry, and molecular imaging. Read more: https://lnkd.in/eVKWh5ss

The cerebral cortex ages less than thought! In the current study, not only the middle layer of the cortex but also the areas above were found to be remarkably resistant to the aging process. The different layers were distinguished based on their content of myelin, a substance essential for the transmission of nerve signals. The researchers focused on a part of the cerebral cortex where signals from the tactile sense are processed. This “primary somatosensory cortex” is located on the left and right side of the top of the head and extends along a strip about a finger’s width wide towards each ear. Using magnetic resonance imaging (MRI), the researchers were able to map this area of the cerebral cortex with unprecedented accuracy. To do this, they employed a particularly sensitive scanner with a magnetic field strength of seven Tesla, enabling them to image minute brain structures about the size of a grain of sand. A total of around 60 women and men between the ages of 21 and 80 were examined. Only the deeper layers of the cerebral cortex showed age-related degeneration: they were thinner in older study participants than in younger ones. In the lower layers of the cortex, a process called modulation takes place: tactile signals are amplified or attenuated depending on the context. “This has something to do with concentration and attention,” explains the author. #ScienceMission #sciencenewshighlights https://lnkd.in/d7dgypVw

🧠🤖 Roadmap to the Future of Synthetic Biological Intelligence: in this perspective paper published on Cell Biomaterials by Cell Press, Brett Kagan outlines two emerging and diverging paths toward intelligent in vitro systems: Organoid Intelligence (OI) and Bioengineered Intelligence (BI). Both approaches aim to harness the computational capacity of neural cultures to build systems capable of learning, adaptation, and information processing, but they differ in origin and design: OI leverages the innate networks that naturally develop within brain organoids, whereas in BI cells are placed in specific patterns with defined inputs and outputs, to assemble simpler, custom-designed neural circuits in the lab (see Figure 1). As these approaches develop, they both depend on cutting-edge platforms that can capture rich, high-resolution functional data. MaxWell Biosystems’ HD-MEA technology provides the spatiotemporal resolution for recording and stimulation, signal quality, and versatility essential to advance this groundbreaking field. Read more from Brett Kagan, Cortical Labs in the full article: 🔗 https://lnkd.in/dCQEzCyv #OrganoidIntelligence #BiologicalIntelligence #HDMEA #Neuroengineering #Neurocomputing