LLMBDA is a BIBM 2025 Workshop

*****************************************************************************************************

The workshop will be held on December 16, 2025

Meeting link (the same for all)

Join the meeting now

Meeting ID: 346 077 120 612 44

Passcode: iq2o88Lp

WUHAN TIME - ZONE

Please find the schedule in the bottom of the page 

                                                                            *****************************************************************************************************

2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025)

https://biod.whu.edu.cn/bibm2025/

15-18, December 2025, Wuhan, China

Organizers:           Ester Zumpano -  DIMES University of Calabria, Eugenio Vovaturo - CNR-Nanotec, Rende(CS), Italy, eugenio.vocaturo@dimes.cnr.it, 

Tommaso Ruga, DIMES University of Calabria

Workshop style: full online

Context  

The integration of Large Language Models (LLMs) with Big Data Analytics (BDA) presents unprecedented opportunities to optimize healthcare processes, democratize access to specialized healthcare, and reduce costs. LLMs can process and interpret vast amounts of medical literature, clinical notes, and unstructured health data, enabling more comprehensive insights and supporting clinical decision-making.

However, the concept of health extends beyond traditional medical settings. Environmental factors significantly impact public health, with policies focused on sustainability and environmental protection directly influencing community health outcomes. Areas with poor environmental management often show higher rates of respiratory diseases, allergies, and other environment-related health conditions. Additionally, contemporary understanding of health encompasses both physical and mental well-being, requiring holistic approaches to healthcare that address psychological aspects alongside physical symptoms.

This workshop focuses on cutting-edge developments from academia and industry, emphasizing the integration of LLMs with BDA to improve health and medicine. Particular attention will be given to methodologies and technologies that using LLM can correlate, learn, mine, interpret, and visualize data to enhance health and medical processes across various contexts - from clinical settings to environmental health monitoring and mental wellness applications.

This timely workshop will interest researchers, academics, and practitioners in big data processing, analytics, health, and medicine. It is especially relevant to the big data community, including those in data mining, machine learning, cyber-physical systems, and computational intelligence, providing a lively forum on this exciting and challenging area at the conference.

Research topics

The LLMBDA workshop aims to bring together researchers from academia, industry, government, and medical centers to present and improve the international state of the art and latest advances in this evolving domain. LLMBDA will cover both theoretical and practical aspects, as well as artificial intelligence technologies and tools supporting Big Data Analytics in biomedicine, healthcare, and holistic well-being. The workshop will address a wide spectrum of issues, from those aimed at supporting healthcare professionals' work to those devoted to improving patients' lives, including environmental health factors and mental well-being.

Topics of interest include, but are not limited to: 

• LLMs and Big Data Integration for Health Analytics

• Environmental Monitoring and Health Outcome Correlation using Big Data

• LLMs for Medical Literature Mining and Knowledge Synthesis

• Big Data Analytics for Prediction and Improvement of Patient Engagement

• Climate Change Impact Analysis on Public Health through Big Data

• Graph Neural Networks for Biological Network Analysis

• LLMs and Big Data for Mental Health Assessment and Intervention

• Multimodal Data Integration for Holistic Health Assessment

• Big Data for Precision/Personalized Medicine 

• LLMs for Clinical Decision Support Systems

• Big Data Analytics for Medical Cost Reduction

• Epidemic and Pandemic Management through Integrated Data Systems

• Explainable and trustworthy AI for epidemic forecasting

• Generative AI and NLP for misinformation detection in health communication

• Data fusion and multimodal AI for complex health environments

• LLMs and Big Data for Drug Discovery and Development

• Wearable Technology Data for Preventive Health Monitoring

• Social Determinants of Health through Big Data Lens

• LLMs for Personalized Health Education and Preventive Care

Important Dates

• Oct  28, 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: Workshop

Paper Submission

Length of papers

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 papers will be included in the main conference proceedings, which are also included in the IEEE digital library, which is indexed by Google Scholar and Scopus.

Special Issues on important Journals are also planned.

Online Submission Web Site:

https://wi-lab.com/cyberchair/2025/bibm25/scripts/submit.php?subarea=S43

Program Chairs

• Ester Zumpano - DIMES University of Calabria, e.zumpano@dimes.unical.it

• Luciano Caroprese - InGeo University of Chieti-Pescara, luciano.caroprese@unich.it 

• Eugenio Vocaturo, CNR-Nanotec, Italy,  eugenio.vocaturo@dimes.cnr.it

• Tommaso Ruga, DIMES University of Calabria, tommaso.ruga@dimes.unical.it
  
  

Program Committee Members (tentative)

• Sergio Flesca (University of Calabria, Italy)

• Andrea Calì, University of London, UK

• Eugenio Cesario, ICAR-CNR, Italy

• Patrizia Vizza, DMSC University Magna Graecia of Catanzaro

• Domenico Ursino, Università Politecnica delle Marche, Italy

• Luca Virgili, Università Politecnica delle Marche, Italy

• Luigi Pontieri, ICAR-CNR, Italy

• Shahaboddin Shamshirband, Ton DucThang University, Viet Nam

• Carmela Comito, ICAR-CNR, Italy

• Agostino Forestiero, ICAR-CNR, Italy

• Eugenio Vocaturo, CNR-Nanotec, Italy

• Elio Masciari, Università degli Studi di Napoli Federico II, Italy

• Fabiola De Marco,  University of Salerno , Italy

Steering Committee Members

• Ester Zumpano - DIMES University of Calabria, e.zumpano@dimes.unical.it

• Eugenio Vocaturo, CNR-Nanotec, Italy,  eugenio.vocaturo@dimes.cnr.it

• Tommaso Ruga, DIMES University of Calabria, tommaso.ruga@dimes.unical.it

DRAFT SCHEDULE (WUHAN TIME ZONE)

Combined Workshops: LLMBDA@BIBM2025, DEIHC@BIBM2025, CBP-AI@BIBM2025

Workshop Style: Full online workshop

Date: December 16, 2025

Workshop Chairs:

- LLMBDA: Ester Zumpano, Luciano Caroprese, Eugenio Vocaturo, Tommaso Ruga

- DEIHC: Ester Zumpano, Genoveva Vargas Solar, Tommaso Ruga

- CBP-AI: Pierangelo Veltri, Patrizia Vizza, Raffaele Giancotti

Meeting Link (same for all):

Join the meeting now

Meeting ID: 346 077 120 612 44

Passcode: iq2o88Lp

11:30 Workshop Introduction: Ester Zumpano, Luciano Caroprese, Eugenio Vocaturo, Tommaso Ruga

Session 1 - LLMBDA - Chair: Luciano Caroprese

11:30 – 11:45 B265, A Context Adaptive Instruction Tuning Framework for Diverse Clinical NLP Tasks, Henry Serugunda Jianquan PhD, and Jacob Katende

11:45 – 12:00 B1213, 3D Venous Anatomy Analysis for Pancreatic Surgery Using Large Vision-Language Model, Yue Zeng, Yinuo Wang, Muxing Li, Siqian Ren, Junbo Li, Weimin Yuan, Cai Meng, and Chunhui Yuan

12:00 – 12:15 B1922, RaiLED-AD: Rationale-Guided Knowledge Transfer for Alzheimer's Prediction from EHR, Shijia Zhang, Zheyu Wang, and Hadi Kharrazi

12:15 – 12:30 S43203, Apriori Meets LLMs: Interpretable Rule Mining from Continuous Healthcare Data, Asma Abboura, Imane Hocine, Yacine Hakimi, Soror Sahri, and Grégoire Danoy

12:30 – 12:45 S43206, Benchmarking Automatic Speech Recognition for Aphasia: A Clinical Evaluation Framework, Navya Martin Kollapally and Christa Akes

12:45 – 13:00 S43207, SocialDemoExtract: A Tool for Extracting Self-Reported Age and Gender from Social Media Text, Salim Sazzed, Md Ehashan Rabbi Pial, and Farhan Noor Dehan

13:00 – 14:00 Lunch

Session 2 - DEIHC - Chair: Luciano Caroprese / Maria Aracne

14:00 – 14:15 S29201, Toward Fair and Efficient Neural Architecture Search in Heterogeneous Federated Learning, Xinyuan Huang and Jiechao Gao

Session 2 - LLMBDA - Chair: Maira Aracne

14:15 – 14:30 S43201, LLM-HeMO: A Large Language Model Driven Multimodal Fusion Framework for Intraoperative Hemodynamic Intervention Prediction, Huijun Lin, Hanpeng Yang, Shenghao Wu, Fan Yang, Shaolong Kuang, and Yali Zheng

14:30 – 14:45 B1342, Multi-Strategy Collaborative Training of Large Language Models for Depression Text Generation and Detection, Zhengnan Qiao and Xianguo Zhang

14:45 – 15:00 B1581, Evaluating the Reliability and Utility of GPT-4o as a Medical Expert across different Interaction Modes, Ufkun-Bayram Menderes, Dominik Morár, and Ngoc Thang Vu

15:00 – 15:15 B1766, FMT: Simulating Clinical Reasoning via Forward-Inference framework in Medical Dialogue Systems, Guandong wang, YaTing Wang, Yanhao Li, and Jie Zhai

15:15 – 15:30 B2285, How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction?, Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, and Imran Razzak

15:30 – 15:45 S43204, A Hybrid Approach to Sentence Classification in Clinical Data through Word Embeddings: A proposal, Luca Petrillo, Fabio Martinelli, Antonella Santone, and Francesco Mercaldo

15:45 – 16:00 S43205, An Explainable Framework for Text Generation Tasks, Luca Petrillo, Fabio Martinelli, Antonella Santone, and Francesco Mercaldo

Closing Remarks - LLMBDA and DEIHC

Session 3 - CBP-AI (9th Edition of Workshop on Computer Based Processes, Algorithms and Generative AI for Healthcare and Life Quality Improvement) - Chair: Patrizia Vizza / Raffaele Giancotti

16:10 Introduction to 9th Edition, Raffaele Giancotti

16:15 – 16:30 B318, Advancing Stress Detection with Chaotic Attractor Informed Synthesis of PPG Signal, Kaiwen Hu, Sipo Zhang, Xiaowei Zhang, Qiqi Zhao, Guangyuan Gao, Tianzhi Wang, Jian Shen, and Bin Hu

16:30 – 16:45 B1036, Class Decoupling Guided Diffusion Model for Diverse Medical Image Synthesis, Qi Liu, Dong Li, Xikun Meng, Yuqing Dong, Songming Zheng, and Tong Zheng

16:45 – 17:00 B1237, NAT-3D: A Non-rigid Approach for Accurate 3D Tracking of Basic Surgical Instruments, Zihan Deng, Jier Zhang, Nan Xiang, Yushan Pan, Junjun Pan, and Zhjie Xu

17:00 – 17:15   S13201 An Offline RL-based Dialogue System for Early Alzheimer’s Detection : A Case Study on the Cookie Theft Test ,  Mei Wang and Xinqi Liu

Closing Remarks - CBP-AI