IEEE-BIBM2026
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
December 1-4, 2026, Dallas, USA - Online Format
Workshop on:
xAIging: Explainable AI and Graph Neural Networks for Elucidating Sex and Age Factors of Disease
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
December 1-4, 2026, Dallas, USA - Online Format
Workshop on:
xAIging: Explainable AI and Graph Neural Networks for Elucidating Sex and Age Factors of Disease
Workshop Details
Sept. 27, 2026: Due date for workshop papers submission
Oct. 18, 2026: Notification of paper acceptance to authors
Nov. 8, 2026: Camera-ready deadline for accepted papers
Dec. 1-4, 2026: Actual workshop dates
Understanding the role of sex and age in disease manifestation, progression, and treatment response is a central challenge in precision medicine. Despite increasing awareness of sex‑specific and age‑related biological differences, most computational approaches still treat patients as a homogeneous group.
The xAIging Workshop provides an interdisciplinary forum on:
Explainable AI (XAI)
Graph Neural Networks (GNNs)
Sex‑ and age‑dependent patterns in biomedical data
Multi‑scale and network‑based biological systems
The workshop brings together experts from:
AI & Machine Learning
Bioinformatics & Network Medicine
Epidemiology & Gerontology
Clinical and Population Health Sciences
Focus areas include:
multi‑omics integration, interpretable models, fairness, causal inference, and translation of computational discoveries into clinical practice.
Some important goals of the workshop:
Identify sex‑ and age‑specific disease mechanisms
Develop interpretable and trustworthy AI models
Integrate multi‑omics and clinical data
Advance network‑based approaches to aging and disease
Promote fairness and bias mitigation in biomedical AI