Second International Workshop on Data Analytics in Biomedicine held in conjunction with DDP2025 (IEEE) Luton, UK 18-20 August 2025 https://socio.org.uk/ddp/workshopinter.php CALL FOR PAPERS The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing and extracting valuable insights from this vast amount of unstructured and heterogeneous data. To address this issue, advanced data analytics techniques, ranging from data and text mining to semantic network analysis and recent advancements in large language models (LLMs), have become indispensable tools for researchers and practitioners. This is particularly relevant in the realm of biomedicine, where text mining has shown the ability to enable researchers to uncover hidden patterns, trends, and associations that would otherwise remain buried in the vast amount of health-related textual data, as research articles, clinical reports, and electronic health records (EHRs). On the other hand, semantic network analysis, which focuses on understanding the structure and dynamics of networks formed by entities and their interconnections derived from text mining processes, can facilitate a deeper understanding of the complex interrelationships within biomedical data. By analyzing properties like centrality, modularity, and community structures, researchers can identify key nodes and critical pathways in biological networks, predict disease associations, and explore the functional organization of biological systems. Integrating text mining, semantic network analysis, and large language models offers a powerful approach to enhance the ability to generate new hypotheses and insights and support the development of more effective diagnostics, treatments, and interventions. The workshop represents an opportunity to explore the latest advancements in data analytics and text mining in biomedicine. Attendees will gain insights into developing more interpretable models, handling large-scale biomedical datasets, and implementing scalable solutions for real-world healthcare applications. Moreover, the workshop is highly relevant because it has the potential to significantly improve the safety, effectiveness, and efficiency of biomedical interventions through advanced data analytics. TOPIC OF INTEREST We invite submissions on a wide range of topics, including but not limited to: • Novel techniques and measures for assessing textual data quality and handling data integration. • Advanced text-mining techniques for biomedical data • Construction and analysis of semantic networks in biomedicine • Case studies on integrated text mining and semantic network analysis • Applications of LLMs in biomedicine • Data analytics in precision medicine • Text-driven approaches to drug discovery • Interpretable or scalable data analytics approaches • Application of data analytics and network science in narrative medicine • Computational methods for disease modeling and prediction • Ethical considerations in biomedical data analytics • Multimodal biomedical data analytics • Future trends and challenges in biomedical data analytics PROGRAM The workshop will take place on (To Be Announced). The program is not available yet. PAPER SUBMISSION – REGISTRATION AND PUBLICATION Please refer to socio.org.uk/ddp/ IMPORTANT DATES Submission of Papers: June 20, 2025 Notification of Acceptance/Rejection: July 15, 2025 Camera-ready: August 10, 2025 Registration: August 10, 2025 Conference Dates: August 18-20, 2025 Post-Conference Proceedings Release: November 30, 2025 WORKSHOP ORGANIZERs Chiara Zucco, University Magna Graecia of Catanzaro, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Marianna Milano, University Magna Graecia of Catanzaro, Italy PROGRAM COMMITTEE (TO BE CONFIRMED) Marzia Settino, University of Calabria, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy Contact: ddp@socio.org.uk