🧪 #NewArticle: "Development and characterization of self-adherent PDMS lenses for amblyopia and low vision aids"

🥼 Autores: Sara Miguez Martin, Justo Arines Piferrer, Ana I. Gómez Varela.

#BiomedicalEngineering #VisionScience #AdvancedMaterials

🔗Ler máis: www.sciencedirect.com/science/arti...

Uncertainty quantification for ultrasound image velocimetry royalsocietypublishing.org/rsif/article... | #JRSocInterface #BiomedicalEngineering

The IEEE EMBS invites proposals to host the 2030 IEEE EMBS International Conference on #BiomedicalEngineering (EMBC).

We encourage submissions from emerging biomedical research regions.

app.smartsheet.com/b/form/dd2243925dd449a19...

Multi-material and multi-module freestanding microrobot for cargo transportation

Demonstrating an FsLDW-fabricated multi-material #Microrobot with pH-responsive capture and magnetic transport modules, enabling controlled grasping, delivery, and microscale cargo release for #Biomedical applications.

#IJEM #OpenAccess: doi.org/10.1088/2631...
#BiomedicalEngineering #DrugDelivery

Meet the speakers shaping the future of #BiomedicalEngineering at the IEEE Engineering in Medicine and Biology Conference 2026.

Join the global community of innovators, researchers, and clinicians at #EMBC2026.

embc.embs.org/2026/invited-speakers/

Long Short-Term Memory–GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study Background: Approximately 3.8 billion people lack access to essential health services, and diagnostic interpretation remains a major bottleneck in remote and resource-constrained settings. Limited access to specialists and the complexity of biomedical signal interpretation (eg, electrocardiogram [ECG] and electroencephalogram) contribute to delays in recognizing cardiovascular and neurological conditions. Objective: The study aimed to develop and evaluate a technical framework integrating long short-term memory (LSTM) networks with GPT-4 to provide automated biomedical signal classification and human-readable interpretations, suitable as a foundation for future deployment in resource-constrained environments. Methods: The 2-layer LSTM architecture (128→64 units) was selected based on preliminary experiments comparing configurations ranging from single-layer networks (64, 128 units) to deeper architectures (128→64→32 units). The chosen configuration balanced model capacity against overfitting risk and computational efficiency. The framework was evaluated using public PhysioNet datasets: Massachusetts Institute of Technology–Beth Israel Hospital (MIT-BIH) Arrhythmia, Physikalisch-Technische Bundesanstalt (PTB) Diagnostic ECG, Physikalisch-Technischen Bundesanstalt-extra large, Chapman-Shaoxing, Medical Information Mart for Intensive Care-III Waveforms, and Sleep-European data format. A patient-level split protocol (70/15/15) was used to reduce leakage risk. The LSTM architecture (128→64 units) performed temporal feature extraction with softmax-based classification for mutually exclusive classes. GPT-4 was integrated via an application programming interface with structured prompts to generate clinical interpretations from model outputs. Results: For the expert evaluation, we randomly sampled 50 test cases per dataset (150 total: 30 from each class for MIT-BIH, 25 per class for PTB, and 20 per class for Children's Hospital Boston-Massachusetts Institute of Technology), ensuring balanced class representation. Three board-certified physicians (2 cardiologists for ECG datasets and 1 neurologist for the electroencephalogram dataset) independently reviewed GPT-4–generated interpretations. Reviewers were blinded to whether signals were correctly or incorrectly classified by the LSTM model. Each interpretation was rated on a 5-point Likert scale (1=clinically inappropriate and 5=highly accurate and clinically useful). Interrater reliability was assessed using Fleiss κ (0.78, substantial agreement). On held-out test sets, classification performance was as follows: MIT-BIH 92.3% accuracy (=0.91, AUC=0.95), PTB Diagnostic 94.7% (=0.94, AUC=0.97), Physikalisch-Technischen Bundesanstalt-extra large 88.9% (=0.88, AUC=0.93), Chapman-Shaoxing 91.2% (=0.90, AUC=0.94), Medical Information Mart for Intensive Care-III 89.5% (=0.89, AUC=0.92), and Sleep-European data format 87.3% (=0.86, AUC=0.91). Expert evaluation of generated interpretations (3 board-certified cardiologists) rated clinical accuracy 4.3 out of 5, clarity 4.6 out of 5, and actionability 4.2 out of 5, with strong interrater agreement (κ>0.85). Conclusions: This proof-of-concept demonstrates an explicit methodological integration of deep learning–based biomedical signal classification with GPT-4–based interpretation, provides a technical foundation for future prospective clinical validation, field studies, and regulatory review prior to clinical deployment in underserved settings.

JMIR Formative Res: Long Short-Term Memory–GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study #BiomedicalEngineering #HealthTech #MachineLearning #AIinHealthcare #LSTM

Research: doi.org/10.1002/aisy... Advanced Intelligent Systems, Wiley Advanced

#Microrobotics #ArtificialIntelligence #BiomedicalEngineering #RoboticsResearch #HealthcareInnovation #AdvancedIntelligentSystems #ScienceCommunication

🔗 Live App: emg-analysis-engine-qussai-adlbi.streamlit.app
📄 Full paper: doi.org/10.5281/zenodo.18965272
This is Module A.
There's more coming.
#EMG #BiomedicalEngineering #MachineLearning #Prosthetics #OpenSource

🦷 From saliva biomarkers to AI-powered, real-time monitoring — transforming daily healthcare into personalized, non-invasive systems.🔗 Read more:https://doi.org/10.53388/BMEC2026007
#OralWearables #DigitalHealth #Biosensors #AIinHealthcare #BiomedicalEngineering #PrecisionMedicine

Dr. Sanja Vickovic in front of imaging technology.

Envision the future of #SpatialTranscriptomics and #DigitalPathology tools in a new article spotlighting IICD Core Member Sanja Vicković and her lab> bit.ly/40o5jOA #CancerResearch #BiomedicalEngineering #Multiomics #ColorectalCancer

Nominations are now open for the #IEEEEMBS Society Awards!

Recognize leaders & innovators advancing #BiomedicalEngineering and healthcare technology.

📅 Deadline: March 25.
🔗 www.embs.org/awards/society-awards/

Perspectives on the future of skin–prosthetic interactions royalsocietypublishing.org/rsif/article... | #JRSocInterface #Bioengineering #Biomechanics #BiomedicalEngineering

Really grateful for the opportunity to be part of this workshop, thank you @helmholtzmunich.bsky.social @pioneercampus.bsky.social for the great collaboration! #Bioengineering #SciencePolicy #BiomedicalEngineering #LifeSciences

Fiona Watt, Director of EMBO and Vasilis Ntziachristos, Director of Bioengineering at Helmholtz Munich, held a #policy workshop on #BiomedicalEngineering at EMBO in Heidelberg, 3–4 March 2026: www.embo.org/features/biomedical-engi... 🧪

Injury-Specific Muscle Regeneration: A Computational Blueprint for Cellular and Cytokine Drivers royalsocietypublishing.org/rsif/article... | #JRSocInterface #BiomedicalEngineering #ComputationalBiology #SystemsBiology

Celebrating outstanding Editorial Board members 🏆
Discover our #EditorialBoard Excellence #Awards across 8 subject areas.
➡️Full winner list: https://ow.ly/ZpTq50Yov3h

#Physics #MachineLearning #MaterialsScience #Environment #Energy #Engineering #BiomedicalEngineering #Mathematics #QuantumScience

mmm torsional mechanical properties #BioMechanics #BioMedicalEngineering

Statistical Shape Modelling in Cardiovascular Disease: A Narrative Review royalsocietypublishing.org/rsif/article... | #JRSocInterface #BiomedicalEngineering #ComputationalBiology

Careers in BME: A LinkedIn Workshop with Dr. Lerner

Not sure what to do with your BME degree?
Join us for Careers in BME - A LinkedIn Workshop hosted by Dr. Lerner and learn more about career paths in #biomedicalengineering and how to craft a strong, professional LinkedIn profile.
📅 March 2nd @ 5 PM
📍 Goergen 101
Level up your professional presence💼✨

Hearing & Balance Research Collective Guest Speaker, Dr. James Dewey (@USC), presents: "Examining cochlear amplification and outer hair cell motility in vivo".
🗓️3/5/26
See flyer for details:
🔗 events.rochester.edu/event/hearin...

#otolaryngology #Neuroscience #biomedicalengineering

Thrilled to announce our collaboration with the ICEMS-BIOMED 2026 Conference
icems-biomed.emcsb.ro

International Conference on Electromagnetic Fields, Signals and BioMedical Engineering

7–9 May 2026, Suceava, Romania

#BiomedicalEngineering #EMC #BioEM #MedicalSignals

Workshop Biosignale 2026 at the University of Innsbruck, Feb 25-27.

ANT Neuro hosts a hands-on workshop:
“Future Trends in EEG and Hands-on EEG Experience with ANT Neuro”

Check www.uibk.ac.at/en/congress/...

#EEG #Biosignals #BiomedicalEngineering

Speaker stands on stage, wearing a dark navy suit jacket and a light blue shirt and a red tie. They are gesturing with their left hand, standing behind an orange lectern.

“Perception is decision making — by both humans and machines.” 👀⚙️

Murray Loew, emeritus professor of #BiomedicalEngineering at George Washington University, enlightens the audience with a keynote on perception as an inverse problem.

#SPIEMedicalImaging

Job Alert

Biomedizinische Ingeniuer/ Biomedizinischer Ingenieur (m/w/d) Else Kröner Fresenius Zentrum

Location: Dresden
Deadline: 15.03.2026

www.academiceurope.com/ads/biomediz...

#hiring #Biomedicalengineering #miomedicine #electricalengineering #physics #materialscience

Move Over 3D: This 4D-Printed Stent Shifts Shape Over Time Researchers in Japan and China report a shape-memory vascular stent that deploys without balloon inflation, a step toward gentler, customizable artery repair.

Spacetime meets 3D printing. This 4D-printing advance means a customized 3D-printed coronary stent can change form with time and temperature for a better fit. See japanresearchreport.substack.com/p/move-over-.... #4DPrinting #MedicalDevices #Cardiology #BiomedicalEngineering #JapanResearchReport

🤖 Surgical robotics demand unmatched precision—force sensors make that possible.
Explore the latest tech enabling safer, smarter medical devices:
🩺 buff.ly/x3sYxSh
#Robotics #BiomedicalEngineering #Sensors

Engineers and doctors must learn to speak the same language for healthcare innovation to work By Chai Jing Xuan Sitting at the intersection of medicine and engineering, lies healthcare innovation. With the development in recent years be it in wearable sensors, medical imaging systems to artificial intelligence driven diagnostics and implantable devices, advancing engineering expertise continuously drives new modern healthcare solutions. However, despite rapid technological progress, many healthcare innovations fail to translate effectively into real clinical impact. I often refer biomedical engineering as the only engineering discipline that sits on the fine line between cold, heavy machinery and the soft, human flesh, which translates into the need for the communication gap to be closed between […]

Engineers and doctors must learn to speak the same language for healthcare innovation to work #HealthcareInnovation #BiomedicalEngineering #MedicalTechnology #AIinHealthcare #WearableTech

Postdoctoral Associate - Blacksburg, Virginia, United States Job Description The Kevin P. Granata Biomechanics Laboratory is seeking a highly motivated postdoctoral associate to join a dynamic, multi-center, interdisciplinary team focused on developing a prog...

The Kevin P. Granata Biomechanics Lab in the Department of #BiomedicalEngineering at Virginia Tech is #hiring a Postdoctoral Associate.

Learn more at and apply at: jobs.apply.vt.edu/jobs/postdoc...

Application Deadline: March 23, 2026.

#academicjobs #postdoc @virginiatech.bsky.social

📢 𝐂𝐚𝐥𝐥 𝐟𝐨𝐫 𝐏𝐚𝐩𝐞𝐫𝐬: 𝐓𝐡𝐞 𝐎𝐩𝐞𝐧 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 🧬

👤 Editor: Valery Tuchin 📊 Scopus CiteScore: 1.8

🔗 Submit: https://bit.ly/4kfcEsQ

#BiomedicalEngineering #SciSky #MedSky #OpenAccess

NER brings together global voices, cutting-edge research, and the next generation of biomedical engineers shaping the future of healthcare. 💙

#IEEEEMBS #NER2025 #BiomedicalEngineering