+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Nanotechnology in Biomedical Engineering · Registering as Listener

ICNTBE
📅 18 – 19 Mar 2027 📍 Chengdu, China 👥 Standard / Physical Participation
Listener Registration From
$165
Registration Benefits:
Official invitation letterIssued automatically after registration
🎖 Certificate & digital materialsGet certificate, slides and resource materials
🌐 Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon Code (If Any)

Have a code? Apply it here — the discount updates the total immediately.

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceInternational Conference on Nanotechnology in Biomedical Engineering
ModeStandard / Physical
ParticipationListener
Registration fee$165.00
Bank charges (5.8%)$9.57
Total payable $174.57

Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

📞 +91 93445 35349

Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 9

This track focuses on the innovative applications of nanotechnology in enhancing drug delivery mechanisms. Discussions will include the design and optimization of nanocarriers for targeted therapy and controlled release.

This session will explore the development of smart biomaterials that respond to physiological conditions for tissue engineering applications. Emphasis will be placed on their integration with biological systems to promote healing and regeneration.

This track will delve into the use of predictive modeling techniques to forecast the behavior of nanomaterials in biomedical applications. Participants will discuss methodologies such as supervised and unsupervised learning in the context of nanomedicine.

This session will highlight the role of deep learning algorithms in analyzing complex biomedical data. Case studies will demonstrate how these techniques enhance diagnostic accuracy and treatment personalization.

This track will address the challenges and solutions related to anomaly detection in biomedical engineering applications. Participants will share insights on methodologies that enhance system reliability and patient safety.

This session will focus on advanced feature extraction techniques that improve the analysis of biomedical data. The discussion will cover both traditional and machine learning approaches to enhance model performance.

This track will explore the integration of automation technologies in biomedical engineering workflows. Emphasis will be placed on improving efficiency and accuracy in research and clinical settings.

This session will discuss the importance of system monitoring and model evaluation in the context of nanotechnology applications. Participants will explore best practices for ensuring the reliability and validity of nanomedical devices.

This track will examine the role of simulation and analytics in advancing nanotechnology research. Discussions will include the use of computational models to predict outcomes and optimize processes in biomedical applications.

This session will focus on the integration of nanomaterials into medical devices to enhance their functionality and performance. Participants will discuss challenges and innovations in device design and manufacturing.

This track will explore the potential of additive manufacturing techniques for creating nanostructured biomaterials. Discussions will include the implications for personalized medicine and the future of biomedical device fabrication.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED