Call for Papers
1st Workshop on Artificial Intelligence for Biomedical Data (AIBio@ECAI2025)
Bologna, Italy | October 25-30, 2025
https://wsaibio.github.io/ecai2025
Scope
The AIBio 2025 workshop delves into the transformative application of artificial intelligence across diverse biomedical data domains, including medical imaging, multi-omics, and clinical data. Biomedical data is inherently complex, characterized by heterogeneity, high dimensionality, and scalability, which present significant challenges in extracting meaningful insights. Artificial intelligence (AI) provides powerful and innovative tools for addressing these challenges, unlocking breakthroughs in disease diagnostics, personalized treatment strategies, and improving healthcare efficiency. This workshop places a particular emphasis on pathology and omics data, where AI has shown immense potential in aiding disease understanding, molecular profiling, and tissue analysis. However, AIBio 2025 extends its scope to include contributions from other critical areas of biomedical research, such as translational medicine, digital health, and the integration of telecommunications technologies in AI-driven healthcare applications. This includes advancements in 5G/6G networks, edge computing, and secure AI models for biomedical data processing, facilitating real-time diagnostics, remote patient monitoring, and scalable digital health solutions.
AIBio 2025 aims to serve as an interdisciplinary forum where researchers, clinicians, data scientists, bioinformaticians, and industry leaders come together to present cutting-edge innovations, discuss key challenges, and explore the future of AI-powered biomedical applications. The workshop provides a unique platform for exchanging ideas, promoting collaboration across fields, and advancing the development of AI-driven solutions that translate directly into practical and impactful healthcare advancements.
Topics of Interest
The list of topics is, but not limited to:
• Application of AI in Digital Whole-Slide Imaging – Exploring the use of AI in analyzing high-throughput pathology images to improve diagnostics and clinical workflows.
• Pathology Image-Based Prediction of Treatment Response – Leveraging AI to predict patient treatment outcomes based on pathology images, aiding personalized treatment strategies.
• Advanced Machine Learning Techniques for Large-Scale Biomedical Data – Discussing machine learning methods that can efficiently process and interpret large, multi-dimensional biomedical datasets.
• Integration of Multi-Omics Data for Disease Modeling – Examining approaches to combine omics data (genomics, transcriptomics, etc.) for comprehensive disease understanding and personalized treatment.
• AI Techniques for Biomarker Discovery and Personalized Medicine – Identifying and validating biomarkers through AI to facilitate precision medicine applications.
• Development of Computational Pipelines for Multi-Modal Biomedical Data Analysis – Creating robust pipelines that integrate various biomedical data sources (imaging, genomic, clinical) for comprehensive analysis.
• AI-Driven Telemedicine and Remote Healthcare – Exploring how AI and telecommunications enable remote diagnostics, patient monitoring, and telemedicine solutions.
• 5G/6G for AI-Enabled Digital Health – Examining how next-generation networks enhance AI
• Federated Learning, Privacy, and Security in Biomedical AI Applications – Addressing privacy concerns and developing secure models for collaborative learning across distributed biomedical datasets.
• Challenges in Translating AI Research into Real-World Healthcare Settings – Identifying barriers to the adoption of AI technologies in clinical practice and exploring strategies to bridge the gap between research and implementation.
• Ethical considerations and interpretability of AI models in clinical settings – Strategies to mitigate biases related to gender, ethnicity, and age using fair machine learning techniques.

Important Dates
- Paper submission opening: 20 March 2025
- Paper submission deadline: 20 May 2025
- Notification to authors: 7 July 2025
- Main conference: 25-30 October 2025

Proceedings
All papers will be strictly double blind reviewed by the program committee, and accepted papers after proper registration and presentation will be published in the workshop proceedings, which will be indexed by Scopus and Google Scholar.

Organizing Committee
Cristian Tommasino, University of Naples Federico II, Italy
Cristiano Russo, University of Naples Federico II, Italy
Francesco Merolla, University of Molise, Italy
Antonio M. Rinaldi, University of Naples Federico II, Italy
Francesco Ciompi, Radboud University Medical Center, Netherlands
Pietro Liò, University of Cambridge, United Kingdom
Michele Bernardini, eCampus University, Italy
Sara Moccia, Università degli Studi "G. d'Annunzio" Chieti – Pescara, Italy
Luca Romeo, University of Macerata, Italy
Mariachiara Di Cosmo, School of Advanced Studies Sant'Anna Pisa, Italy