Research paper on XAI for blood glucose forecasting accepted at ICMCEL 2025

🌟 Exciting Research Milestone! 🌟 Proud to announce our new publication in Sensors and Actuators A: Physical: "Ultrasound-Driven Deep Learning for Glucose Monitoring in Flowing Blood" 👉 DOI: https://lnkd.in/gj89NGmr 🔎 Why this matters? Conventional Continuous Glucose Monitoring (CGM) requires invasive procedures — skin penetration, blood extraction, or sensor implantation. Our approach introduces a truly noninvasive solution: 🌀 High-frequency ultrasound captures glucose-related signals from flowing blood. 🤖 Deep learning (CNNs) analyzes ultrasound spectrograms with up to 99% accuracy in blood glucose classification. No needles, no extraction, no preprocessing. Just smart, patient-friendly monitoring. ✨ This work redefines how diabetes can be managed: painless, accurate, and accessible. 🙏 I am grateful to all my co-authors, with special recognition to lead authors Jeong Eun Lee and Alok Kumar Sharma for their remarkable efforts, and to Prof. Hae Gyun Lim, whose guidance as corresponding author has been instrumental. 🚀 This is more than research — it’s a step toward transforming diabetes care worldwide. 📶 🌐 Visit our research team’s website to explore more groundbreaking research! https://lnkd.in/g7d8M-7j #Diabetes #NonInvasive #Ultrasound #MachineLearning #ContinuousGlucoseMonitoring #BloodGlucoseClassification #HealthcareInnovation

Innovation in Healthcare AI! Presenting CardioBERT from ABES Dr. Kadambri Agarwal's research paper titled "CardioBERT: A Cardiac Identification using Fusion Features in Consumer Healthcare" has been published in the prestigious IEEE Transactions on Consumer Electronics (Impact Factor 4.3 | SCI | Q1). This pioneering work introduces CardioBERT—a novel fusion of CNNs and BERT models—offering advanced accuracy in detecting cardiovascular diseases from ECG signals. The model also leverages residue-level contact-map predictions to address dimensional mismatches, achieving an impressive 0.92% increase in accuracy over existing methods. 🗓️ Published on: June 2, 2025 🔍 DOI: 10.1109/TCE.2025.3575522 We proudly celebrate Dr. Kadambri's contribution to healthcare innovation through AI and commend her dedication to impactful research. Join us in congratulating her on this remarkable accomplishment! 👇 Let's inspire future engineers—one breakthrough at a time. #ABES #achievement #ai #healthcare #research #innovation #publication #engineering

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

📢 The Special Issue "New Sights of Machine Learning and Digital Models in Biomedicine" is open for submissions! 🥼 This Special Issue is guest-edited by Prof. Dr. Hatem Alhadainy. 💡 This Special Issue explores the intersection of machine learning (ML), digital modeling, and biomedicine, highlighting innovative approaches that leverage advanced computational techniques to enhance medical research, diagnosis, treatment, and patient care. 🔗 Click the link to access more details about the Special Issue: https://lnkd.in/gxs_Gybe 🕑 The deadline for manuscript submissions is 31 January 2026. 🎉 Welcome to join us as authors and reviewers! 👏 And welcome to follow our LinkedIn account @Bioengineering MDPI. #Machine_Learning #Digital_Models #Biomedicine

We’re opening a new chapter in Brain Computer Interface (BCI) with the launch of NeuroSync Technologies. Our focus is on developing brain mapping and BCI solutions, both non-invasive and invasive, powered by AI-driven analysis. These technologies move diagnostics forward by detecting cognitive health changes years before symptoms appear. By combining advanced EEG technology with intelligent algorithms, we’re creating solutions that are safe, precise, and adaptable across different patient needs. This isn’t just about data. It’s about using AI to translate complex brain signals into actionable insights, giving healthcare providers the ability to act sooner and more effectively, helping people live longer, healthier, and more fulfilling lives. 👉 Our mission: transform brain health with BCI technology—non-invasive and invasive—that empowers both providers and patients. Because when we unlock the brain with the right tools, we unlock possibilities: more time, more choices, more life. 💙

📢 Sharing this late but glad to share that a research paper I co-authored titled “Bone Health AI Suite for Automatic Bone Healthcare Analysis” was published a while ago at the 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), IEEE Delhi. This paper presents our work on BoneHealth AI Suite, which integrates three AI-powered modules: 🔹 Bone Fracture Detection using ResNet18 with 99.36% accuracy. 🔹 Bone Mineral Density (BMD) Prediction with Gradient Boosting, achieving R² of 99% (train) and 86% (test). 🔹 Knee Joint Osteoarthritis Severity Grading with ResNet18, reaching 96.38% accuracy and later we added 5 more models to this project which all got validated by respective medical professionals. By combining powerful Gen AI, CNN models for image classification and regression models for clinical data, the suite demonstrates how AI can be applied effectively to assist in bone healthcare analysis. Cheers to my co-authors Kanchan Dhuri, PRAVEEN SONESHA, and Vishal Devkate for their contribution and collaboration on this journey. Here’s the IEEE link for anyone interested in diving deeper into the details: 👉 https://lnkd.in/eC5W9M2w #AI #DeepLearning #HealthcareAI #MedicalImaging #BoneHealth #IEEE #Research #INDIACom2025

📢 Excited to share our new publication! Our article, “Validation of Artificial Intelligence-prescribed Exercise Programs for Improving Upper Crossed Syndrome and Dynamic Knee Valgus,” has just been published in the Journal of Clinical Research in Paramedical Sciences. 🔎 Findings show that AI-generated exercises largely meet validity thresholds, but some discrepancies remain compared to expert consensus. This highlights AI’s potential as a supportive adjunct under professional supervision rather than as a standalone solution. Grateful to collaborate with my dear professors Rahman Sheikhhoseini, Rasul Eslami, and Hashem Piri on this work. 🔗 Read the full article here: https://lnkd.in/d7G3zKyc #ArtificialIntelligence #Rehabilitation #ExerciseScience #AIinHealthcare #Research

AI meets medicine: a breakthrough in restoring health at the cellular level. Researchers at Harvard Medical School have unveiled a new AI tool designed to predict therapies that could restore health in diseased cells. This innovation holds promise for: - Faster identification of potential treatments. - Personalized approaches to complex diseases. - Accelerating progress in biotechnology and drug discovery. What could this mean for the future of healthcare and precision medicine? Author: Not specified Date: September 9, 2025 Source: [Read more](https://lnkd.in/dfncWyYf) Hashtags: #AIinHealthcare #DrugDiscovery #HarvardAI #BiotechInnovationhttps://lnkd.in/dfncWyYf

What if your doctor could predict exactly how your body will respond to a medication before you even take it? No more trial-and-error. No more adverse reactions. No more wondering if there's a better treatment option out there. This isn't science fiction. It's happening right now. Quzone is revolutionizing personalized medicine by harnessing quantum AI to tailor treatments based on your unique genetic, molecular, and clinical data. Instead of one-size-fits-all protocols, we're creating one-size-fits-YOU medicine. Here's how quantum-powered medicine works: Quantum-Enhanced Genomics: Processes massive genomic datasets to identify the perfect drug and dosage for your biological profile. AI-Powered Precision: Maps disease pathways and simulates your specific drug responses before treatment begins. Multi-Omics Integration: Analyzes genomics, transcriptomics, and metabolomics data simultaneously for precise diagnostics. The result? Treatments that minimize adverse reactions while maximizing efficacy. Real-time monitoring that adapts therapies as your body responds. We're moving from medicine that treats symptoms to medicine that prevents them. From reactive healthcare to predictive wellness. The age of hyper-personalized treatment plans isn't coming. It's already transforming lives. #PersonalizedMedicine #QuantumAI #PrecisionMedicine #HealthcareInnovation #AIinHealthcare #Genomics #QuantumComputing #MedicalTechnology #HealthTech #FutureOfMedicine #BioTech #DigitalHealth #MedicalAI #HealthcareTransformation #InnovativeTherapy

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