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Hybrid Event

10th - 11th November 2026 | Miami, USA

International Conference on AI and Big Data in Biomedical Engineering (ICABDBE - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Advancements in Machine Learning for Biomedical Applications

This track will explore the latest developments in machine learning techniques specifically tailored for biomedical engineering. Emphasis will be placed on innovative algorithms that enhance diagnostic accuracy and treatment personalization.

Track 02
Big Data Analytics in Genomics and Proteomics

This session focuses on the application of big data analytics in genomics and proteomics research. Participants will discuss methodologies for managing and interpreting vast datasets to uncover biological insights.

Track 03
Bioinformatics Tools for Functional Genomics

This track will highlight cutting-edge bioinformatics tools that facilitate functional genomics studies. Presentations will cover software and methodologies that enable the analysis of gene functions and interactions.

Track 04
Predictive Analytics in Biomedical Research

This session will delve into the role of predictive analytics in advancing biomedical research. Attendees will examine case studies where predictive models have successfully forecasted disease outcomes and treatment responses.

Track 05
Computational Biology: Bridging Data and Biology

This track will address the intersection of computational biology and data science in understanding complex biological systems. Discussions will focus on computational models that simulate biological processes and their implications for research.

Track 06
Systems Biology Approaches to Disease Mechanisms

This session will explore systems biology methodologies used to dissect disease mechanisms at a systems level. Presenters will share insights on integrating multi-omics data to build comprehensive disease models.

Track 07
Workflow Automation in Biomedical Research

This track will examine the impact of workflow automation on efficiency and reproducibility in biomedical research. Participants will discuss tools and platforms that streamline data processing and analysis.

Track 08
Biomarker Discovery through AI and Data Science

This session will focus on the application of AI and data science techniques in biomarker discovery. Researchers will present novel approaches to identify and validate biomarkers for various diseases.

Track 09
Ethical Considerations in AI and Big Data in Healthcare

This track will address the ethical implications of utilizing AI and big data in healthcare settings. Discussions will revolve around data privacy, consent, and the responsible use of AI technologies.

Track 10
Integration of AI in Biomedical Informatics

This session will explore the integration of artificial intelligence into biomedical informatics systems. Presentations will highlight how AI can enhance data management, patient care, and clinical decision-making.

Track 11
Emerging Trends in Biomedical Engineering and AI

This track will provide insights into emerging trends at the intersection of biomedical engineering and artificial intelligence. Participants will discuss future directions and potential breakthroughs in the field.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.