[Agda] Workshop on Data Analytics in Biomedicine

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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

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 at socio.org.uk