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CALL FOR PAPERS — REHMED 2026
Representation Learning for Heterogeneous Biomedical Data
Workshop at ECML PKDD 2026 | 07 September 2026 | Napoli, Italy
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OVERVIEW
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REHMED 2026 invites original, unpublished contributions at the intersection of machine learning and clinical AI. The workshop focuses on representation learning methods that advance the robustness, transferability, and trustworthiness of models operating on heterogeneous biomedical data,
including electronic health records (EHR), medical imaging, omics, physiological signals, and clinical text.

Clinical data are multi-modal, multi-source, longitudinal, and often incomplete. REHMED addresses methods that bridge machine learning innovation and real-world deployment constraints, with special attention to uncertainty estimation, calibration, fairness, explainability, and privacy-preserving learning — in line with high-risk AI requirements in healthcare.

The workshop welcomes both methodological advances and applications in realistic biomedical settings. It is designed as a forum for ML and DL researchers, biomedical data scientists, clinicians, companies, startups,
and graduate students working on robust and clinically meaningful representations.

TOPICS OF INTEREST
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We welcome contributions across the following technical areas:

Representation Learning and Adaptation
- Foundation models for biomedical data
- Self-supervised and weakly supervised learning
- Transfer learning and domain adaptation
- LLMs and ontology-aware representations

Multimodal and Multi-source Integration
- Cross-modal alignment and fusion
- Learning from unpaired multimodal data
- Incomplete and partially observed modalities
- Data harmonization across institutions

Structured and Temporal Modeling
- Graph and relational representations
- Longitudinal patient trajectory modeling
- Time-series representation learning
- Geometry-aware and hyperbolic embeddings

Trustworthy, Causal, and Privacy-aware AI
- Causal representation learning for healthcare
- Uncertainty estimation and calibration
- Interpretability, fairness, and safety
- Federated and privacy-preserving learning

SUBMISSION GUIDELINES
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- Authors can submit papers full or short papers.
- Original and unpublished work only. Concurrent submissions must be disclosed at the time of submission.
- Submissions must follow the ECML PKDD 2026 workshop track instructions and be formatted according to the LNCS guidelines.
- The review process is double-blind, with at least three independent reviews per submission.
- Contributions are evaluated on relevance, technical rigor, originality, and potential impact.
- Selected contributions may be invited to an extended journal submission route discussed in the workshop proposal.

IMPORTANT DATES
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Paper submission deadline: 05 June 2026
Notification of acceptance: 30 June 2026
Camera-ready submission: 10 July 2026
Workshop day: 07 September 2026

WORKSHOP FORMAT
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REHMED is a workshop combining invited talks, pitch presentations, and a poster session, followed by a moderated discussion on open problems and future research directions. The format is designed to foster interdisciplinary exchange and direct engagement between participants.

PUBLICATION
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Accepted papers will be published in the post-workshop proceedings of ECML PKDD 2026, by Springer CCIS. Authors can opt in or opt out from proceedings publication. Camera-ready papers should be prepared in LNCS format. Selected contributions may also be considered for an extended journal submission route.

ORGANIZING COMMITTEE
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Michele Bernardini — eCampus University, Italy
michele.bernardini@uniecampus.it

Alessandro Cacciatore — University of Macerata, Italy
a.cacciatore1@unimc.it

Soumick Chatterjee — Human Technopole / Otto von Guericke University
soumick.chatterjee@fht.org

Mariachiara Di Cosmo — University G. d'Annunzio Chieti-Pescara, Italy
mariachiara.dicosmo@unich.it

Cristian Tommasino — University of Naples Federico II, Italy
cristian.tommasino@unina.it

Sara Moccia — University G. d'Annunzio Chieti-Pescara, Italy
sara.moccia@unich.it

SUBMISSION
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Papers should be submitted via the ECML PKDD 2026 workshop track portal:
https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Track/36/Submission/Create

CONTACT
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Primary: michele.bernardini@uniecampus.it
Co-contact: cristian.tommasino@unina.it
Website: https://rehmed-workshop.github.io/ecmlpkdd2026/

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REHMED 2026 | Co-located with ECML PKDD 2026 | Napoli, Italy
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