A new study introduces a bioinspired electronic skin capable of thermotactile perception 🤖 Using flexible bioelectronics + AI-driven sensing, the system recognizes materials with 98.9% accuracy — a fascinating step toward next-generation wearable tech, robotics, and intelligent healthcare systems.

Ultrathin silk fibroin bioelectronics for real-time sleep monitoring 🚨 A new study in @natureportfolio.nature.com reports a flexible piezoelectric patch enabling wireless tracking of REM activity & nasal micromotions with strong translational potential for wearable healthcare.

🧠 Brain–body coupling in female health is being investigated using multimodal wearable EEG and physiological monitoring. The University of Münster employs Spica to integrate neural and autonomic data, examining how menstrual cycle and hormonal contraception influence real-world brain–body dynamics.

🚀Soft, skin-interfaced multimodal wearable for continuous psychophysiological monitoring. Integrates motion, acoustics, bioimpedance, temperature, and heat-flux signals to infer HR, HRV, respiration, and autonomic stress via ML. Enables longitudinal clinical and occupational monitoring.

🚀From text-only models to multimodal clinical reasoning A @natureportfolio.nature.com study shows an AI system integrating images, ECGs & clinical data can outperform PCPs in simulated consultations—highlighting a shift toward dynamic, state-aware diagnostic inference. #ArtificialIntelligence

May 17th is #WorldHypertensionDay 🌍 Hypertension is not a single reading — it is physiology unfolding over time. Blood pressure continuously changes with stress, sleep, activity, and circadian rhythm. Wearables + AI may help move cardiovascular monitoring beyond isolated clinic snapshots.

🔬Sweat as a diagnostic fluid? A new @natureportfolio.nature.com study introduces a wireless, battery-free wearable that continuously tracks cortisol, glucose, lactate & urea with in situ regeneration for 21 days. A step toward real-world, continuous molecular monitoring. #Bioelectronics#WearableTech

Microsoft’s Aurora Project (2022) tested cuffless BP tech on 1,125 participants using PPG, ECG & tonometry. Key finding: waveform-based AI often failed to outperform simple calibration baselines. Peripheral signals may not uniquely encode BP under real-world physiology. #WearableAI #DigitalHealth

Can AI become a co-scientist in biomedical discovery? CoDaS uses multi-agent AI to turn wearable data into biomarkers via hypothesis generation, validation, and literature grounding. Early results show consistent signals like circadian instability. AI is moving from tool to research workflow.

Last week at DGBP Berlin, we presented Spica for remote multimodal monitoring in psychiatry. We also shared our CRC Münster project on longitudinal depression monitoring using wearables, EMA, and cognitive tasks. Great discussions on digital biomarkers & precision psychiatry.

Glucose monitoring, reimagined. A @science.org study introduces an enzyme-free microneedle patch that converts glucose into an ultrasound-readable signal. Biochemistry → mechanics → acoustics. A new paradigm for scalable, multimodal biosensing. #GlucoseMonitoring #ClinicalResearch

AI wearable ring translates sign language in real time without gloves or calibration. Using inertial sensing + deep learning, it reaches ~88.5% accuracy on 200 ASL/ISL words and generalizes to new users—toward seamless, inclusive communication. #AssistiveTech #AI

📍We’re presenting this week at DGBP/AGNP 2026 (Berlin) Poster P1.12 🗓 Wednesday, 06 May 2026 🕒 15:30–17:30 Remote Multimodal Data Collection for Continuous Monitoring in Psychiatry & Neurology 📩DM me or contact [email protected] to schedule a quick meeting during the congress. #DigitalPsychiatry

Smart wound care is evolving fast. A study reports a flexible PEDOT bioelectronic dressing that monitors pH, temperature, and impedance in real time while delivering combined electro-optical therapy. In vivo results showed >98% wound closure within 8 days, highlighting major translational promise.

DGKJP 2026 in Würzburg 🧠 focused on advancing real-world approaches in child and adolescent psychiatry 🌍 Virgobit participated in the KIKAN project ⚙️ exploring how real-life data can reshape understanding of pediatric anxiety. From lab-based to lived experience research. #DGKJP #DGKJP2026

🔔In Spica, notifications are no longer reminders—they’re protocol triggers. Push app prompts or secure links, delivered instantly or on schedule, each tied directly to study tasks. From EMA to cognitive paradigms, Spica orchestrates real-world clinical research as a living, adaptive workflow layer.

At DMEA 2026, RPM was everywhere—but the real gaps remain: missing clinical context, fragmented system boundaries, and non-scalable project logic. The challenge isn’t technology anymore, it’s integration. Without FHIR-based, structured interoperability, RPM stays a pilot—not care infrastructure.

🔬When #WirelessSensing meets intelligent #Bioelectronics. New @natureportfolio.nature.com study reports an ion–electron flexible sensor with high sensitivity, wireless integration, and 93.3% ML phonation recognition. Strong potential for WearableTech, RehabilitationMedicine, and PrecisionMedicine.

AI is starting to decode sleep as a systems-level biomarker. Models like SleepFM, trained on large PSG datasets, can predict risk across 130 conditions. This could shift sleep from symptom to early signal—while validation, diversity, and interpretability remain essential. #AI #SleepScience

🩺 Continuous monitoring without batteries? A smart textile + epidermal #sensor system enables real-world cardiovascular sensing during #sleep, #exercise & daily activity. Continuous BP may move from episodic snapshots to real physiology. Full paper in comments. #DigitalHealth #Cardiology

🚀 Can skin-integrated bioelectronics transform rehabilitation? A wireless “electronic tattoo” (Science) records EMG, delivers stimulation, and enables >90% gesture classification—improving grip performance. A step toward personalized, home-based neurorehab. #DigitalHealth #Neurotech

📢 Join Virgobit at DGKJP Congress 2026 (22–25 Apr, Würzburg) 🧠 P-09-011 | Apr 24, 11:00–12:00 KIKAN: integrating wearables, EMA & gamification for child anxiety. We build the multimodal infrastructure enabling real-world mental health research. #DGKJP2026 #DigitalHealth #EMA

🚀 A new era of #wearable human–machine interfaces at the wrist! Ultrasound + AI enables real-time hand tracking—no cameras needed. ✔ No line-of-sight required ✔ Fine gesture capture ✔ Low-latency decoding A step toward seamless XR & robotics. #WearableAI #HCI #DeepTech

Virgobit team at DMEA 2026 (Berlin, 21–23 April). We develop digital health infrastructure for real-world clinical & behavioral research. Spica (remote monitoring) & BrainGoMo (neurofeedback) support interoperable, AI-driven, FHIR-ready healthcare systems. Let’s connect. #HealthcareIT#DigitalHealth

🧠 New Oxford (Sleep Advances): 6 wearables vs PSG show high sensitivity (>90%) but low specificity (29–52%) and only fair–moderate agreement (κ=0.21–0.53). Sleep is often overestimated, wake underestimated—light sleep becomes the default algorithmic state. Wearables ≠ PSG. #SleepResearch

Parkinson’s Disease: $82B Hidden Burden • Total burden: $82.2B (U.S.) • Direct medical: $23.8B • Indirect/non-medical: $58.4B • Care partner burden: >$8B • ~1.2M people affected Majority of impact lies outside clinical care, reflecting systemic and non-motor burden. #ParkinsonsDisease

👃 AI Meets Wearables: A new mini olfactory sensor ring tracks skin VOCs to monitor metabolism & diet in real time. Non-invasive, AI-driven (axial-attention LSTM), validated by GC-MS. Precision nutrition, chronic disease prevention, and research reimagined. #WearableSensors #MetabolismMonitoring

Missing wearable data isn’t noise—it’s hidden signal. New @natureportfolio.nature.com research shows GAN-based models can reconstruct physiology and: • Detect infection ~11.9 days pre-symptoms • Recover 42% missed cases • Boost early detection by 35% From missingness → meaningful insight. #Wearables

Clinical care is becoming predictive. #RPM + #AI now detect physiological changes days before symptoms, reduce hospitalizations, and improve triage accuracy. Continuous data is redefining evidence-based practice. #WorldHealthDay2026 #ClinicalResearch #Virgobit

🔬 Spica Dashboard: Create Study Feature Research or Standard mode? Enable real-time data acquisition and live visualization, or design longitudinal studies with structured, protocol-driven data collection. Because methodological choices define data quality and research outcomes. Stay tuned.

🔬 A wireless, battery-free optoelectronic–microfluidic wearable enables direct, in situ quantification of sweat biomarkers via on-chip LED–photodiode reflectance sensing—eliminating image-based variability. 📊 Demonstrates stable outputs across skin tones & strong sweat–serum correlation. #Biosensors

🚀From Static Biomarkers to Continuous Molecular Phenotyping! A new @natureportfolio.nature.com review shows how mass spectrometry + wearable biosensors enable real-time, multi-analyte monitoring from biofluids. Shifting toward dynamic, context-aware biomarkers powered by AI. #Wearables#Biomarkers

🧠 #AI is transforming remote health! Many users require accurate process data, not just metrics. At Virgobit, our hybrid AI—on-device + cloud—delivers real-time, personalized insights from #wearables & gamified tasks. Smarter health, better outcomes. 📩 [email protected] #WearableAI #DigitalHealth

🧠 Wearables + AI are reshaping Alzheimer’s screening. A Nature study shows sleep EEG from simple devices can detect signals with ~0.90 AUC—no lab needed. Key insight: brainwave dynamics > sleep stages. A step toward scalable, home-based neuro monitoring. #AIinMedicine #SleepScience #DigitalHealth

🧠 Exhaled breath as a metabolic interface! A recent study reports a self-powered wearable for real-time analysis of exhaled breath condensate (EBC). Integrating hydrogel-enabled condensation, multimodal electrochemical sensing, and perovskite photovoltaics—enabling stable, battery-free operation.

🧠 3rd DBS Summit 2026: Spica in action! Charité used Spica for multimodal, real-world Parkinson’s data, unlocking new insights for adaptive DBS research. Excited for the next summit to see even more results! 📊📱📧 [email protected]

The FDA has approved Optune Pax, a first-of-its-kind, non-invasive device delivering Tumor Treating Fields (TTFields) for locally advanced pancreatic cancer. Portable, home-based therapy added to standard chemo improved overall survival in clinical trials.A shift toward decentralized oncology care.

New intracranial EEG data link hippocampal sharp-wave ripples to spontaneous human thought. Increased ripple activity correlated with vivid, visually imaginable, and intrusive cognition, and reduced external task focus. Findings expand the role of hippocampal replay beyond memory consolidation. 🧠🔬

Excited to introduce Frog Maze 🐸 — a digital biomarker for #Parkinsonian patients. Measures fine motor control, bradykinesia, tremor, and cognitive switching using bimanual fingertip tapping. Now part of Spica’s comprehensive Parkinson task library — FTT, Maze, Spiral, Tremor, and many more.

📢Upcoming conferences 2026: Virgobit will participate in the 3rd Expert Summit on the Future of Deep Brain Stimulation, DGKN 2026 , and Health Tech Global Summit . Let’s connect to discuss remote monitoring, DBS research, and wearable-integrated studies. send a DM or email us at [email protected].

We launched the Spica Research Kit! 🚀 Includes #wearable, compatible smartphone, and Spica app with integrated experimental tasks—a turnkey platform for small-scale studies. Collect high-quality #multimodal health data efficiently, reliably, and without complex setups. 🎯 📩[email protected]

Many promising small-scale clinical or research studies never get started. Technical setup, multiple devices, and data management slow research down. What if you could start collecting high-quality, continuous data immediately? The best solution by Virgobit is coming soon. 👀 #DigitalHealth

🚀 Enzymatic microbubble robots are advancing microrobotics from motion to medicine! Magnetically guided & chemotactic, fully biodegradable, and visible via ultrasound, they enable targeted therapy in vivo — integrating propulsion, imaging, navigation, and drug delivery for clinical translation.

How reliable is mobile #brain training with BrainGoMo compared to clinical systems? In recent validation sessions, our mobile system closely matched clinical-grade devices — confirming that BrainGoMo delivers scientifically robust #neurofeedback, even outside the clinic. #Neurotechnology #Virgobit

📢Research Collaboration Call We welcome collaboration with academic and clinical institutions on projects involving mobile health platforms, wearable sensors, and longitudinal studies. Open to joint proposals across EU & DACH funding schemes (Horizon Europe, EIT Health, BMBF, DFG). [email protected]

#Wearable continuous drug monitoring is moving closer to reality 🩺📊 A new @natureportfolio.nature.com study demonstrates a wearable electrochemical aptamer-based patch for real-time vancomycin measurement, highlighting progress toward precision dosing and continuous pharmacokinetic monitoring🔬

🚀Spica lets researchers capture Parkinson’s task performance and wearable data at the same time. From finger tapping & tremor to balance and reaction time—plus #HR, #HRV, #activity, #sleep & more—Spica enables continuous, real-world PD monitoring and personalized rehab. #Parkinsons #Wearables

🚀 Pilot study validates a #wearable for #ParkinsonsDisease at the movement level. Tremor & akinesia reach 100% sensitivity (≥93% specificity), sensors track Levodopa response, and rule-based algorithms ensure traceability. Dyskinesia detection is limited during gait. Measurement > classification.

🚀A new study unveils a wearable bioelectronic system that objectively tracks stress. It combines #ECG, #GSR, #pulse, #temp & #sweat cortisol, runs battery-free, and uses AI to distinguish stress states—enabling continuous, multimodal, biologically grounded stress monitoring.

How can we objectively record #Parkinsonian symptoms outside the clinic? 🧠📱 We added a comprehensive task library for Parkinsonian patients, enabling objective assessment of motor control, dexterity, balance, tremor, and fine motor function using smartphones to generate digital biomarkers. #Virgobit