Call for Papers

Background:

The symposium on AI-Based Medicine and Biological Data Analysis offers an interdisciplinary platform for researchers, engineers, and practitioners to explore recent advances in artificial intelligence applied to complex biomedical data. The rapid growth of biomedical sensing technologies, medical imaging, wearable devices, and high-throughput biological assays has resulted in increasingly rich and heterogeneous multimodal datasets. Effectively analysing and integrating these diverse data sources is essential for advancing our understanding of health, disease, and their interactions with environmental and bio-ecological systems. AI-driven data analysis methods provide powerful tools to extract meaningful patterns from high-dimensional biomedical data and to support data-informed decision making. Positioned as a catalyst for interdisciplinary collaboration, this symposium brings together experts from biomedical engineering, data science, AI, and related domains to advance research and applications in multimodal biomedical data analysis.

Goal/Rationale:

This symposium aims to address key challenges and recent developments in AI-based Medicine and Biological Data Analysis. Despite significant progress in machine learning and data-driven modelling, integrating heterogeneous biomedical data modalities remains a major challenge due to issues such as data complexity, noise, limited interpretability, and scalability. There is a growing need for robust, explainable, and efficient AI methods that can fuse multimodal biomedical data and translate analytical insights into real-world applications, including health monitoring, environmental health assessment, and sustainable bio-ecological systems. The symposium will showcase recent methodological advances, emerging AI techniques, and applied case studies demonstrating how multimodal biomedical data can be leveraged effectively. Through research presentations, discussions, and knowledge exchange, the symposium seeks to foster collaboration, stimulate innovation, and identify future research directions at the intersection of AI, biomedical data analysis, and sustainability-oriented applications.

Scope and Information for Participants:

The symposium invites original research contributions that focus on AI-based analysis of Medicine and Biological Data Analysis. Topics of interest include, but are not limited to:

• Multimodal biomedical data fusion from biosignals, imaging, wearable sensors, and omics
• Machine learning and deep learning methods for heterogeneous biomedical datasets
• AI-enabled analysis of biomedical data linked to environmental and bio-ecological factors
• Advanced signal processing techniques for improving data quality and robustness
• Interpretable and trustworthy AI for biomedical data analysis
• Real-time and scalable analytics for wearable and sensing systems
• Applications of multimodal biomedical data analysis in health, environmental monitoring, and sustainability
• Case studies demonstrating AI-driven insights from complex biomedical data

The symposium welcomes both academic and industry participants and encourages interdisciplinary and application-oriented contributions.

Topics:

The main topics of this symposium are listed below.

Medicine, Biology, and Data Analysis

Meanwhile, submissions aligned with the overall conference theme are also welcome.

Environmental Science

Geoscience

Ecology

Bioscience and Bioengineering

Submission:

Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download

Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to [email protected]

Important Dates:

Publication:

Accepted papers of the symposium will be published in Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Publication info

Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818, 2753-8826 (electronic)

This symposium is organized by ICEGEE 2026 and it will independently proceed the submission and publication process.

* The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.