Wuha, China, December 15-18 2025
Workshop link: BIBM 2025
Program Schedule: to be defined
Organizers: Pierangelo Veltri, University of Calabria
Patrizia Vizza, University Magna Graecia of Catanzaro
Raffaele Giancotti, University Magna Graecia of Catanzaro
Clinical and biological data represent a critical source of information essential for advancing disease research and promoting wellness. Efficient data management and robust processing pipelines are key to mitigating the spread of pandemics and optimizing healthcare infrastructure. Comprehensive analysis of clinical and wellness-related data provides researchers with the opportunity to extract valuable insights from various sources, ranging from structured biological laboratory measurements to unstructured textual descriptions of diseases and diagnostic device outputs, including biomedical images. Furthermore, the analysis of hospital records from diagnosed individuals can support administrative purposes (e.g., cost analysis, reimbursement) and disease monitoring efforts. Protein and gene data, when integrated with familial and environmental information, enable the identification of disease correlations and risk factors, aiming to personalize strategies and enhance quality of life.
This workshop aims to provide an engaging platform for researchers and practitioners in computer science and bioengineering to present their latest research focused on leveraging data to improve wellness. It seeks to create a unique interdisciplinary space for collaboration and knowledge exchange at the intersection of bioengineering, computer science, and medicine, fostering discussion and emphasizing the importance of automated processes in enhancing quality of life through proactive prevention and sophisticated information extraction and enrichment techniques.
The workshop will focus on new applications and data management, taking into account the necessity of using large datasets, including those generated by generative AI applications.
TOPICS OF INTEREST
The workshop is seeking original research papers presenting applications of algorithms and solutions applied to biomedicine, clinical applications and lifestyle. Topics of interest include, but are not limited to:
1. Data Integration for Personalized Medicine (e.g., Techniques for integrating diverse clinical, biological and environmental data, identifying disease correlations and risk factors);
2. Advanced Data Management and Processing Pipelines (e.g., robust data processing pipelines, automating data collection, processing, and analysis in healthcare);
3. AI and Machine Learning in Clinical Data Analysis (e.g., applications of artificial intelligence and machine learning, AI for advanced data interpretation in clinical and biomedical contexts, machine learning algorithms for diagnostic and personalized treatments);
4. Biomedical Imaging and Image Processing (e.g., processing and analyzing biomedical images, algorithms for the analysis of clinical and biological data sources, AI-driven approaches for automated image interpretation in clinical practice)
5. Generative AI and Data Augmentation in Healthcare (e.g., exploring generative AI applications for healthcare data generation; data enhancing richness and diversity through synthetic data in clinical studies)
6. AI-Driven Preventive Healthcare and Wellness (e.g., AI technologies in preventive healthcare initiatives, approaches to wellness improvement through data-driven insights)st.
7. Real-Time Data Analytics for Healthcare Decision Making (e.g. data analysis to support clinical decision-making, Integrating wearable devices and sensors for patient monitoring)
8. Emerging Technologies in Bioengineering for Wellness (e.g., Innovative bioengineering techniques for improving health outcomes, bioengineering in developing wearable health devices and diagnostic tools)
Important Dates:
Oct 15, 2025: Due date for full workshop papers submission
Nov 10, 2025: Notification of paper acceptance to authors
Nov 23, 2025: Camera-ready of accepted papers
Dec 15-18, 2025: Workshops
Paper Submission:
Length of paper
Full-paper: 8 pages
Short-paper: 2 pages
Please submit a paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instructions here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html).
All accepted accepted will be included in the main conference proceedings which are included in the IEEE digital library indexed by Google Scholar and Scopus.
Special Issues on important Journals are also planned.
Online Submission Web Site:
Program Chairs
Pierangelo Veltri - University of Calabria, pierangelo.veltri@dimes.unical.it
Patrizia Vizza – University Magna Graecia of Catanzaro, vizzap@unicz.it
Raffaele Giancotti – University Magna Graecia of Catanzaro, raffaele.giancotti@unicz.it
Pietro Hiram Guzzi (University of Catanzaro, Italy)
Giuseppe Pozzi (Politecnic University of Milano, IT)
Pierre Baldi (University of Irvine California)
Elena Succurro (University of Catanzaro, Italy)
Giuseppe Pozzi (Politenico di Milano, IT)
Maria Eugenia Caligiuri (University of Catanzaro, Italy)
Giuseppe Tradigo (University ecampus, Novedrate, Italy)
Ester Zumpano (University of Calabria, Italy)
Mattia Cannistrà (University of Catanzaro, Italy)