Virgobit

🧠 #EMG + AI: Advancing motion classification for intelligent exoskeletons! Published in Nature Portfolio, researchers from the University of Cambridge unveiled a CNN-based framework that classifies human motion in ankle exoskeletons with 99.26% accuracy using combined surface EMG and #IMU signals. ✨ What makes this breakthrough remarkable: ⚙️ Textile-based EMG electrodes replace traditional gels — improving comfort and long-term usability. 🧩 The system adapts to new users with as few as 10 calibration samples. 🦿 Even under sensor failure, performance stays stable — critical for safe, real-world rehabilitation. This fusion of AI 🤖, biomechanics 🦾, and wearable innovation is shaping the next generation of assistive mobility and neurorehabilitation systems — where intelligent exoskeletons truly learn from the human body. 👏 Congratulations to Luigi G. Occhipinti, Chenyu TANG, Dominika Kazieczko, Josée Mallah, and Silas Ruhrberg Estevez on this outstanding contribution to the field 📖 Full article link in the comments. #AI #Neuroscience #Rehabilitation #WearableTechnology #DeepLearning #HealthcareInnovation #Neuroengineering

🚀 The #Wearable That Lets Your Skin Speak! What if your skin could talk — revealing how pollution, humidity, and your daily rhythm shape your health? A new study in Nature Portfolio introduces a breathable wearable skin analyzer (BSA) that does exactly that. This tiny, lightweight device continuously tracks skin hydration and barrier function for weeks — transforming the skin into a living biosensor of environmental impact. 💡 Why it matters  • Captures circadian patterns of skin health that short tests miss  • Links particulate matter (PM) exposure to real biological changes  • Opens the door to personalized environmental health tracking This breakthrough blurs the line between clinical research and real-world behavior, enabling scientists and clinicians to explore how our environment truly interacts with our biology. 🧠 From diagnostics to prevention, this is the next leap in wearable science. 👏 Congratulations to daeshik kang, Je-sung Koh, Myungrae Hong, and the entire team behind this outstanding work. 👇 Article link in the comments #WearableTech #DigitalHealth #SkinScience #NatureCommunications #BiomedicalEngineering #EnvironmentalHealth #TranslationalResearch #Innovation

🌍 The Next Frontier in Heart Health: #Wearables That Think, Sense & Heal! Cardiovascular disease remains humanity’s #1 killer — yet the way we monitor it is being rewritten. A new Nature Portfolio review highlights how next-generation wearable sensors are transforming cardiovascular care — merging flexible electronics, biochemical sensing, and AI-driven early warnings into one seamless, skin-level ecosystem. 💓 Key breakthroughs: 🔹Pulse wave sensors track vascular stiffness and HRV in real time — crucial for early CVD detection. 🔹Ultrasound skin patches visualize deep blood flow, giving clinicians continuous insights into vascular health. 🔹Biochemical wearables analyze glucose, lactate, cholesterol, and cardiac enzymes through sweat or tears — bringing lab diagnostics to the skin. 🔹Closed-loop systems hint at a future where devices don’t just detect — they respond automatically. 💡 The big idea: We’re shifting from reactive treatment to proactive prevention — powered by real-time, intelligent sensing. 🔬 Why it matters: The convergence of materials science, electronics, and medicine is redefining what “noninvasive care” means. This is the kind of multidisciplinary innovation that will shape the next decade of cardiovascular research. 💬 Link to the full Nature article is in the comments. 👏 Congratulations to Zhenlong Huang, Yuan Lin, and the entire team on this great achievement! #WearableTech #CardiovascularHealth #MedicalInnovation #BiomedicalEngineering #DigitalHealth #AIinMedicine #NaturePortfolio

🎥 Exploring the Future of Patient Monitoring — Highlights from the SFB/TRR 393 Meeting. At the SFB/TRR 393 Meeting held in Dresden (27–29 October), we were delighted to share Virgobit’s contribution to the project “Trajectories of Affective Disorders: Cognitive-Emotional Mechanisms of Symptom Change.” This interdisciplinary collaboration brings together leading universities — The Philipp University of Marburg, University of Münster, Technische Universität Dresden, The University of Bonn, and Karlsruhe Institute of Technology (KIT) — to unravel how emotional, cognitive, and physiological processes interact over time in affective disorders. 🔬 At Virgobit, our mission is to empower this research through continuous remote monitoring. Using our Spica platform, we integrate wearable sensors (from POLAR and Muse® by Interaxon Inc.) to capture rich multimodal data — bridging real-world behavior and clinical insight. During the meeting, our CEO, Omid Abbasi, presented: 🔹 Methodological framework for remote data collection 🔹 Spica’s multimodal monitoring and visualization capabilities 🔹 Patient engagement interface developed by the Virgobit team 🎬 Watch our short video capturing the key moments and insights from the event. 📌 Virgobit poster link is shared in the comments. #SFBTRR393 #AffectiveDisorders #Neuroscience #DigitalHealth #Spica #WearableTechnology #PatientMonitoring #ResearchInnovation #ClinicalResearch #Virgobit

🚀 From #Nanofibers to Smarter Heart Health: The Next Leap in #Wearable Tech! Cardiovascular diseases remain the #1 cause of global mortality — and science is now moving closer to real-time, personalized prevention. 🧠 A recent Elsevier study shows how electrospun nanofibers are revolutionizing wearable cardiovascular monitoring. These ultra-thin, flexible materials allow sensors to track blood pressure, ECG, and cardiac biomarkers — all with biocompatibility and high sensitivity. 🔬 Key breakthroughs: • Advanced coaxial, centrifugal, and multilayer electrospinning techniques for next-gen cardiovascular sensors • Polymer–nanocomposite designs that enhance conductivity, flexibility, and durability • Bridging the gap between wearable diagnostics and regenerative medicine 💡 This research marks a major step toward continuous, non-invasive, personalized cardiovascular monitoring, bringing us closer to smart, bio-integrated healthcare systems. Huge congratulations to SAAD ABDULLAH, Bee Luan Khoo, Mohamed Elgendi, KHAN Bangul and the entire team! 📖 Full paper link in the comments 👇 #WearableTech #CardiovascularHealth #Nanotechnology #BiomedicalEngineering #DigitalHealth #MedTechInnovation #SmartHealthcare

🚀 From #Nanotech to Next-Gen Healthcare: A Revolution in Chronic Disease Monitoring What if your smartwatch could track not just your heart rate — but your biochemistry in real time? That’s not sci-fi anymore. A new Nature Portfolio review highlights how wearable biomolecular sensing technologies are transforming chronic disease management — powered by nanomaterials, reagentless sensing, and bioelectronics. 🧬 These next-gen sensors can continuously monitor molecular markers for: • Cardiovascular disease (BNP, troponin, TMAO) • Neurodegeneration (tau, α-synuclein, miRNAs) • Autoimmune and metabolic disorders • Even mental health biomarkers like cortisol and BDNF By fusing nanotech with bioelectronics, we’re moving from episodic testing to continuous, personalized, proactive healthcare. The challenge now? 👉 Translating these lab-grade nanosensors into scalable, clinically validated tools that truly empower patients and clinicians. ✨Congratulations to Wei Gao, Shana Kelley, Jiaobing Tu, Connor Flynn, Jeonghee Yeom and Zhenwei Wu on this groundbreaking work! 🔗 Link to the Nature Nanotechnology paper in the comments. #Nanotechnology #DigitalHealth #WearableSensors #BiomedicalEngineering #TranslationalMedicine #ChronicDisease #PrecisionHealth

🧠 #Neurophysiology Rewired: #AI Learns the Language of the Brain! For decades, we’ve been listening to the brain’s whispers — electric rhythms, neural storms, silent codes. Now, we’re starting to understand what it’s saying. A groundbreaking study in Nature Portfolio introduces py_neuromodulation — an open-source platform merging invasive brain recordings, MRI connectomics, and AI to decode human brain activity in real time. 📊 123 hours of brain data. 73 patients. 🧩 Cohorts across the US, Europe, and China. 💡 A universal decoder for movement, emotion, and seizures — without individual retraining. From predicting hand movement in Parkinson’s, to reading emotional valence in depression, to detecting seizures in epilepsy, this is not just neuroengineering — it’s the dawn of intelligent neurotherapies that adapt to the mind they treat. The future of neuromodulation is not reactive — it’s responsive. The brain and technology, now in conversation. 👏 Congratulations to Dr. Timon Merk, Wolf-Julian Neumann, Richard Köhler, MD, PhD, Thomas S. Binns, Alessia Cavallo, Meera Chikermane,  and the entire research team for this remarkable contribution to the future of neural decoding and precision neuromodulation. 📄 Full article link in the comments #Neurotechnology #BrainComputerInterface #Neuroengineering #PrecisionMedicine #Neuroscience #AIinHealthcare #Neuromodulation

🧠 Rewiring the Spinal Cord: Mapping the Neuronal Circuitry Behind Autonomic Dysreflexia! Published in Nature Portfolio, the article “A neuronal architecture underlying autonomic dysreflexia” uncovers, for the first time, the precise neuronal circuitry responsible for life-threatening autonomic dysreflexia after spinal cord injury (SCI) — and demonstrates how epidural electrical stimulation (EES) can safely restore cardiovascular control. 🧩 Through a combination of single-nucleus RNA sequencing, high-resolution connectomics, and functional mapping, the study reveals two competing neuronal architectures within the spinal cord: 🔹 A maladaptive network driving uncontrolled hypertension after SCI. 🔹 A therapeutically modifiable network, activated by EES, that restores stable blood-pressure regulation. 🚀 This discovery provides a mechanistic foundation for targeted neurorehabilitation, marking a critical step toward precision neuromodulation therapies for individuals with SCI. 👏 Congratulations to Gregoire Courtine, Jan Elaine Soriano, Remi Hudelle, Aasta Gandhi, Sergio Daniel Hernandez Charpak, Kelly Larkin-Kaiser, PhD, Erkan Kurt, Jordan Squair, Robin Demesmaeker, PhD, Nicolas Hankov, Léonie Asboth, Jocelyne Bloch, and the entire research team for their pioneering work in spinal cord neuroscience. Full article in the comments 👇 #Neuroscience #SpinalCordInjury #Neurorehabilitation #Neuroengineering #ClinicalResearch #EpiduralStimulation #NatureResearch

🧠 Reconnecting Touch: The Future of Brain-Controlled Bionic Hands! Imagine feeling with a hand that isn’t your own. A new Nature Portfolio article by Giacomo Valle explores how cortical somatosensory feedback could redefine brain-controlled prosthetics — making touch possible again for people with paralysis or limb loss. 🔬 Using intracortical microstimulation (ICMS) of the somatosensory cortex, researchers are beginning to recreate tactile sensations — pressure, texture, even motion — that the brain interprets as real touch. But the challenges ahead are enormous: ⚙️ Thousands of electrodes may be needed to restore full sensory bandwidth. 🧩 Each stimulation site evokes unique percepts — shaping how touch “feels.” 🔄 Closed-loop brain-computer interfaces must integrate motor decoding and sensory encoding. Still, the vision is clear: A future where artificial limbs don’t just move — they feel. This work reminds us that embodiment and perception are inseparable — and that restoring touch means restoring humanity itself. 💡 The next frontier lies at the intersection of neural interfaces, biomimetic encoding, and AI-driven neuroengineering — bridging lab innovation with real-world clinical impact. 👇 Read the full article in the comments. #Neuroengineering #BCI #Bionics #Neuroscience #NaturePortfolio #Neuroprosthetics #AIInMedicine #BiomedicalEngineering #SomatosensoryFeedback #InnovationInScience

🧠 Micropatterned Biphasic Printed Electrodes for High-Fidelity On-Skin #Bioelectronics! A groundbreaking study in Advanced Portfolio introduces micropatterned biphasic printed electrodes that redefine what’s possible in wearable bioelectronics. By integrating 3D microstructured printing with liquid-metal droplets, these soft electrodes achieve an impressive 14× reduction in skin impedance (4.7 kΩ) — delivering stable, gel-free, and motion-resilient recordings for EEG, EMG, and ECG. This innovation enables forehead EEG detection of alpha rhythms, gesture-controlled prosthetics, and long-term, high-fidelity monitoring, marking a major leap toward seamless human–machine interfaces. 👏 Congratulations to Manuel Reis Carneiro, Carmel Majidi, Mahmoud Tavakoli, and the entire research team on this outstanding achievement! 📖Full article link in the comments 👇 #WearableTechnology #Bioelectronics #Neuroengineering #AdvancedMaterials #BiomedicalEngineering #HumanMachineInterface #HealthcareInnovation