NeuroSync Technologies launches BCI solutions for brain health

Artificial intelligence is no longer just a buzzword—it’s a game-changer in EEG. At Allina Health Abbott Northwestern Hospital Dr. Ram Mohan Sankaraneni leveraged autoSCORE, the world’s first AI-based model that provides comprehensive clinical EEG interpretation, to streamline workflows and increase diagnostic accuracy. By helping to improve efficiency during EEG review, autoSCORE can help neuro care teams focus on what matters most: delivering better patient outcomes. 💡 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐚𝐮𝐭𝐨𝐒𝐂𝐎𝐑𝐄 𝐟𝐫𝐨𝐦 𝐃𝐫. 𝐒𝐚𝐧𝐤𝐚𝐫𝐚𝐧𝐞𝐧𝐢 𝐛𝐲 𝐯𝐢𝐬𝐢𝐭𝐢𝐧𝐠 https://hubs.li/Q03DMmN20 *autoSCORE is developed by Holberg EEG AS and available exclusively with Natus NeuroWorks #AIinHealthcare #ArtificialIntelligence #EEG #medtech

🎉 Excited to share that our paper has been published at IEEE TENSYMP held from Jul 7-9 2025 , at Christchurch , New Zealand 🎉 "HybridNet: A CNN-Transformer Based Approach for Myocardial Infarction Segmentation" Authors: Satya Karthik Achanta , Rithwik Eluri, Rama Rakshith Katta, Avasarala Nirupam Laxmi Srujan, Aneesh Narayan Bandaru, and Dr. Santosh Kumar State-of-the-Art Results: Dice Coefficient: 0.985 Weighted IoU: 0.971 F1 Score: 0.964 Classification Accuracy: 0.983 Innovation: Our HybridNet combines the power of U-Net's multi-scale feature extraction with Transformer's global attention mechanisms for accurate myocardial infarction segmentation from cardiac MRI images. Clinical Impact: 130ms inference time per image - suitable for real-time clinical deployment Addresses critical challenges: limited labeled data, complex cardiac motion, computational efficiency Outperforms traditional models (U-Net, SegNet, ResNet) and recent literature Technical Contributions: Novel hybrid CNN-Transformer architecture Advanced preprocessing pipeline with noise reduction and adaptive histogram equalization Combined Dice Loss + Cross-Entropy Loss for optimal segmentation Robust training pipeline with dynamic learning rate scheduling This work represents a significant step forward in automated cardiac diagnosis, potentially enabling faster MI detection and improved patient outcomes, especially in resource-constrained clinical settings. 📖 Read the full paper: https://lnkd.in/dKgksvBn #MachineLearning #MedicalAI #DeepLearning #CardiacImaging #ComputerVision #Healthcare #AI #Research #IEEE #Transformers #CNN #MyocardialInfarction #MedicalImageAnalysis

Across industries, the true promise of #AI lies not in automating what exists today, but in rethinking how complex decisions are made. In #healthcare, that need is especially urgent as cardiovascular disease continues to claim millions of lives each year, and timely, accurate diagnosis can mean the difference between prevention and crisis. Our latest whitepaper on AI-Enabled Assessment of Carotid Stenosis, authored by Srinivas Kudavelly and Venkat Sudheer, shows how clinical insight and engineering depth can come together to make diagnostics more precise and consistent. By combining dual-scan ultrasound views with intelligent algorithms, it points to a future where earlier detection leads to better outcomes where they matter most. https://lnkd.in/dWJHaCeh For me, the lesson goes beyond this use case. It reflects the larger opportunity we’re pursuing at @Cyient: applying deep engineering, “from silicon to software, platforms to AI”, to help industries turn fragmented data into confident decisions. That’s how we build not just smarter products, but stronger lifecycles and enduring value. Particularly in Life Sciences, it could become a game-changer in saving lives. As AI becomes central to decision-making, the differentiator will be how we balance speed of adoption with responsibility and oversight. #IntelligentEngineering #HealthcareInnovation #MedicalImaging #DecisionIntelligence #EngineeringExcellence #Cyient #DigitalHealth #LifeSciences #DataToDecisions #FutureOfHealthcare #StrokeAwareness

What if medicine could fit inside a single cell? The Future According to Holoharmoniq 1️⃣ Cell-Level Healing – The Doctor Within Imagine a world where repeated treatments are obsolete. A single nanobot intervention can repair DNA, neutralize cancer cells, or reverse a stroke within minutes. This isn’t science fiction—this is next-generation medicine. 2️⃣ Longevity & Regeneration – Slowing Time Nanobots maintain cellular vitality. Tissues and organs regenerate, and aging slows down. Not immortality—but longer, healthier lives. 3️⃣ Brain–AI Gateway – Where Thought Meets Technology Nanobots cross the blood-brain barrier and interface with the nervous system. Beyond healing, this opens doors to memory enhancement, faster learning, and maybe one day, knowledge download. 4️⃣ Immune System 2.0 – Instant Protection Everyone deserves the best defense. Nanobots give the immune system superpowers—neutralizing viruses, bacteria, and toxins before symptoms appear. 5️⃣ Intelligent Swarms – Beyond the Body Nanobots communicate with each other, creating swarm intelligence. Millions of units working together to build new organs—or even a global healthcare network. 6️⃣ Bioenergy Network – The Body as a Power Plant Nanobots recycle bioelectrical energy. Our bodies don’t just consume energy; they generate it to power AI systems and medical networks. 🌐 Holoharmoniq’s Vision: This is more than technology. It’s a new harmony between humans, science, and the future. A world defined not by disease, but by our possibilities. Curious how close we are to this reality? Let’s discuss the future of medicine, comment your thoughts below! #NanotechMedicine #FutureOfHealth #AIinHealthcare #LongevityRevolution #CellularHealing #Holoharmoniq

Artificial intelligence is revolutionizing many industries including healthcare. It is paving the way for advancements in diagnostics, personalized treatments, biomedical device advancements, and disease surveillance. The article “Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects” (Tripathi et. al.) explores how AI is reshaping medicine and optimizing the healthcare system. It is truly an inspiring time to be learning about the intersection of engineering, AI, and medicine!

🧠 Why Upgrade to HD-MEA?   Electrophysiology is all about #resolution, and HD-MEAs deliver like never before! Traditional low-resolution MEAs have served as a pillar of neuroscience for decades. #But with the advent of High-Density MEAs, we've entered a #new era of #precision and #insight. Now, with 3Brain AG CorePlate™ enabled HD-MEA, researchers gain #unmatched resolution with the #highest number of #simultaneous recording electrodes available on the market. Enabling: #High definition - Single-cell resolution across entire networks #Full-Network Mapping - Go beyond sparse data: record thousands of cells #simultaneously - Deep insights into cellular phenotypes #Real-Time, Label-Free Monitoring - #No need for dyes - Track cellular activity in real time Reproducible Data - #Consistent data quality across wells - No trade-off between resolution and scalability All-in-One Software - Over 100 built-in analysis metrics - Clean, easy-to-read visualizations Flexible formats - From 1-Well to 24-Wells - 2D and #3D electrodes Built for #your research! Curious how HD-MEAs could advance your research? Ask me!

🩺 An AI Stethoscope: How a Simple Improvement Could Save Thousands of Lives ⚡ Imagine a device that, in just 15 seconds, can detect three of the most common heart conditions. An AI-assisted stethoscope has proven capable of identifying issues that would otherwise go unnoticed by doctors, offering a vital opportunity for early detection. 🛑 However, success isn't so simple. The study revealed that doctors stopped using it over time, partly because of the false positives it generated. This is a reminder that the most innovative technology can fail if not managed correctly. For this type of device to have a real impact on public health, it is necessary to work on three fronts: 🔹 Governance: It is fundamental to establish clear protocols for managing data and diagnostic quality. 🔹 Collaboration with Doctors: Physicians must participate in the creation and improvement of the tool to understand and trust it. 🔹 Patient Information: It is crucial to communicate honestly and clearly the device's role and the possibility that more tests may be needed to confirm a result. ❤️🩹 The potential of this technology in the UK is huge, as it could detect heart failure, atrial fibrillation, and heart valve disease early and on a large scale, preventing serious complications and easing the burden on emergency services. With the necessary improvements, this device would not only diagnose but would become an essential ally on the front lines of medical care. #HealthcareInnovation #AIinHealth 📚 Source: Allen, V. (2025, August 30). AI stethoscope can detect three heart conditions in 15 seconds. British Heart Foundation.

Innovative approach advances equity in health care AI A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms-addressing a critical issue that can affect diagnostic accuracy and treatment decisions. via News Medical Device / Technology News Feed

Neuroimaging has always given us data. The real question is.. when does it start giving us understanding? For decades, functional MRI was powerful but limited to: 📉 Long processing times. 📉 Complex workflows. 📉 Data that felt more like numbers (than insights). So, we asked ourselves: ➥ what if brain activity could be visualized as it happens? ➥ Diagnostics can’t afford to be retrospective. So we built an fMRI system that makes them 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞. ➥ Why should interpreting the brain feel more complex than understanding it? We never dared to ask! Right? That’s the thinking behind 𝐂𝐞𝐫𝐞𝐛𝐫𝐨 ✨ 𝐀 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐑𝐈 𝐬𝐲𝐬𝐭𝐞𝐦 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐰𝐡𝐢𝐥𝐞 𝐜𝐚𝐩𝐭𝐮𝐫𝐢𝐧𝐠 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲! ↳Real-time analysis for actionable insights. ↳Intuitive operation, without technical roadblocks. ↳A bridge between cutting-edge research and everyday clinical care. In neuroimaging, speed isn’t about convenience, it’s about saving lives. That’s where 𝐂𝐞𝐫𝐞𝐛𝐫𝐨 begins! Impact goes beyond technology: → Faster, clearer insights for researchers. → Greater efficiency for hospitals. → Better outcomes for patients. At ASFNR 2025, our US distributor will be presenting Cerebro to the global community 🌎! This is the Kryptonite Solutions vision 🚀 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐟𝐞𝐞𝐥 𝐡𝐮𝐦𝐚𝐧 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐟𝐞𝐞𝐥 𝐬𝐢𝐦𝐩𝐥𝐞! #ASFNR2025 #fMRI #NeuroImaging #BrainImaging #MedicalImagingInnovation #NeuroTech #NextGenHealthcare #MedTechLeaders #InnovationInHealthcare #FutureOfDiagnostics #ShapingHealthcare #Kryptonite

Entry two of GABA's Long-Term Potentiation: Founder's Series on Neural Mechanics. Cerebellar circuits provide an intriguing avenue for theoretical BCI integration.