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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REHMED 2026 invites original, unpublished contributions at the intersection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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- Original and unpublished work only.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.
- Accepted papers will appear in post-workshop Springer CCIS proceedings.
Authors may opt in or opt out of proceedings publication.
- 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 half-day 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://ecmlpkdd.org/2026/submissions-workshop-track/

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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