Hybrid Conferencee

International Conference on Biomedical AI Agents and Bioinformatics Systems (ICBAABS - 26)

25th - 26th September 2026 | Budapest, Hungary

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Budapest conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Budapest, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Budapest."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Biomedical AI Agents

This track focuses on the latest developments in biomedical AI agents, emphasizing their role in enhancing healthcare outcomes. Discussions will include innovative algorithms and their applications in various medical domains.

Track 02

Bioinformatics Systems for Predictive Modeling

This session will explore the integration of bioinformatics systems with predictive modeling techniques. Participants will examine case studies demonstrating the effectiveness of these systems in anticipating health-related events.

Track 03

Supervised and Unsupervised Learning in Bioinformatics

This track will delve into the applications of supervised and unsupervised learning methodologies within bioinformatics. Attendees will analyze the strengths and limitations of each approach in processing biological data.

Track 04

Deep Learning Techniques in Biomedical Research

This session will highlight the transformative impact of deep learning techniques on biomedical research. Presentations will cover various architectures and their effectiveness in analyzing complex biological datasets.

Track 05

Anomaly Detection in Biomedical Data

This track will focus on methodologies for anomaly detection in biomedical datasets, crucial for identifying outliers and ensuring data integrity. Participants will discuss the implications of these techniques for clinical decision-making.

Track 06

Feature Extraction Methods in Bioinformatics

This session will address the critical role of feature extraction in enhancing the performance of bioinformatics systems. Attendees will explore various techniques and their applications in genomic and proteomic data analysis.

Track 07

Workflow Automation in Bioinformatics

This track will examine the implementation of workflow automation in bioinformatics research. Discussions will focus on tools and frameworks that streamline data processing and enhance reproducibility.

Track 08

System Monitoring and Model Evaluation in AI

This session will explore the importance of system monitoring and model evaluation in the deployment of AI solutions in healthcare. Participants will discuss best practices for ensuring model reliability and performance.

Track 09

Industrial IoT and Predictive Maintenance in Healthcare

This track will investigate the intersection of industrial IoT and predictive maintenance within healthcare settings. Presentations will highlight the role of smart technologies in optimizing resource allocation and operational efficiency.

Track 10

Digital Twin Technologies in Biomedical Applications

This session will focus on the innovative use of digital twin technologies in biomedical applications. Attendees will explore how these virtual models can enhance system optimization and patient care.

Track 11

AI Integration in Healthcare Analytics

This track will discuss the integration of AI techniques in healthcare analytics, emphasizing their potential to transform data-driven decision-making. Participants will share insights on overcoming challenges and maximizing benefits in this rapidly evolving field.