DEIHC is a BIBM 2025 Workshop

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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 

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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,
                          Genoveva Vargas Solar, CNRS, France,  Tommaso Ruga, DIMES University of Calabria

Workshop style: full online

Context  

Diversity, equity, and inclusion (DEI) are essential in healthcare as they strive to ensure that all individuals receive fair treatment and equal access to healthcare services, particularly those historically marginalized or discriminated against. Healthcare organizations increasingly recognise the importance of DEI and are implementing various initiatives to promote diversity in their workforce. This is crucial because healthcare institutions face unique challenges related to disparities in access to care and health outcomes.

For instance, Black and Hispanic patients often report negative experiences within the healthcare system and encounter difficulties in finding physicians who share the same background. Similarly, LGBTQ+ individuals face obstacles in accessing healthcare services, leading to exacerbated health issues. These disparities in healthcare access and outcomes are influenced by various barriers to inclusion, including language and cultural differences.

These disparities can be addressed by prioritizing DEI and diversifying the healthcare workforce to better reflect the patient population. Research has shown that diverse teams in healthcare settings lead to improved patient outcomes, enhanced communication, better risk evaluation, and increased innovation. Moreover, boosting diversity within the healthcare research community is crucial for addressing disparities in clinical trials, where marginalized groups are often underrepresented. Increasing the diversity of medical researchers can help improve clinical trial enrollment in underrepresented communities and address imbalances in research outcomes.

In addition to promoting equity and improving patient care, incorporating technologies and AI solutions can further support DEI in healthcare. These technologies can help healthcare organizations identify and address disparities, personalize patient care based on individual backgrounds and preferences, and empower patients from diverse backgrounds to advocate for their healthcare needs.

Overall, DEI initiatives are essential for promoting equitable access to healthcare services, improving health outcomes for all patients, and fulfilling the ethical duty of healthcare professionals to provide high-quality care to every individual, regardless of their background or identity.

Research topics

The workshop on Diversity, Equity and Inclusion in Healthcare aims to bring together researchers from academia, industry, government, and medical centres to present and improve the international state of the art and the latest advances in this relevant domain.  DEIHC is expected to cover theoretical and practical aspects,  and artificial intelligence technologies and tools support DEI in biomedicine, healthcare and well-being. The workshop will cover a broad spectrum of issues, from those aimed at easing and supporting healthcare professionals' work to those devoted to improving patients’ lives. The workshop also aims to discuss computational models, social computing, and agent-based solutions applied to practical solutions that address topics related to DEI in Healthcare. 

Topics of interest include, but are not limited to: 

• Bias in Healthcare AI Algorithms

• Decision Making and Implicit bias

• DEI and  Personalized Healthcare 

• Diversity in Healthcare

• Inclusion in Healthcare

• Bias Detection in AI-driven Diagnostic Tools

• Inclusive AI-driven Healthcare Resource Allocation

•  Equity in AI-powered Telemedicine Services        

• Ethical Implications of AI in Healthcare Equity

• Legal Implications of AI in Healthcare Equity

•  Inclusive and equitable healthcare solution

• DEI in Health Care Information Systems; 

• LLM for supporting DEI

• Responsible healthcare data analysis

• Healthcare Data responsible practices

• Diversity and Inclusion in AI-driven Healthcare Solutions

• AI Safety,  Fairness and Accountability in Healthcare

• Neuroscience and Cognitive Science for DEI

• Bias Detection in AI-driven Diagnostic Tools

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=S29

Program Chairs

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

• Genoveva Vargas Solar, CNRS, France, genoveva.vargas-solar@cnrs.fr

• 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, University of Calabria, 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

• Genoveva Vargas Solar, CNRS, France, genoveva.vargas-solar@cnrs.fr

• 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