International Conference on Biomedical Engineering and Public Health

ICBEPH

26th May – 27th May 2027 Narva, Estonia

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICBEPH

Date 26th May – 27th May 2027

Location Narva, Estonia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Predictive Modeling for Healthcare +

This track focuses on the latest methodologies in predictive modeling applied to healthcare settings. Participants will explore the implications of these models for patient outcomes and resource allocation.

SDG 3 SDG 3 SDG 9

02 Supervised and Unsupervised Learning in Biomedical Applications +

This session will delve into the application of supervised and unsupervised learning techniques in biomedical engineering. Discussions will cover case studies and the effectiveness of these approaches in real-world scenarios.

SDG 3 SDG 9

03 Deep Learning Innovations in Medical Imaging +

This track highlights breakthroughs in deep learning technologies specifically for medical imaging analysis. Researchers will present their findings on improving diagnostic accuracy and efficiency through advanced algorithms.

SDG 3 SDG 9

04 Anomaly Detection in Health Monitoring Systems +

This session will address the challenges and solutions related to anomaly detection in health monitoring systems. Emphasis will be placed on real-time data analysis and the impact on patient safety.

SDG 3 SDG 3

05 Feature Extraction Techniques in Biomedical Data +

This track will explore innovative feature extraction techniques that enhance the analysis of biomedical data. Participants will discuss the importance of feature selection in improving model performance.

SDG 3 SDG 9

06 Workflow Automation in Healthcare Engineering +

This session will examine the role of workflow automation in optimizing healthcare processes. Presentations will focus on case studies that demonstrate efficiency gains and improved patient care.

SDG 3 SDG 9

07 System Monitoring and Evaluation in Biomedical Systems +

This track will cover methodologies for effective system monitoring and evaluation in biomedical engineering applications. Participants will discuss best practices for ensuring system reliability and performance.

SDG 3 SDG 9

08 Industrial IoT Applications in Biomedical Engineering +

This session will explore the integration of Industrial IoT technologies in biomedical engineering. Discussions will focus on the implications for predictive maintenance and operational efficiency.

SDG 9 SDG 12

09 Digital Twin Technologies in Healthcare +

This track will investigate the use of digital twin technologies in healthcare settings. Researchers will present findings on how digital twins can enhance patient care and operational workflows.

SDG 3 SDG 9

10 Process Optimization in Biomedical Engineering +

This session will focus on strategies for process optimization within biomedical engineering frameworks. Participants will share insights on methodologies that lead to improved outcomes and reduced costs.

SDG 3 SDG 9

11 Population Health Analytics and Epidemiology Modeling +

This track will delve into the application of analytics in population health and epidemiology modeling. Discussions will center on data-driven approaches to understanding and addressing public health challenges.

SDG 3 SDG 3