Author

Stefan Michiels

InsermORCID 0000-0002-6963-2968Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Hakim BenkiraneiD· 2 shared Paul-Henry CournèdeiD· 2 shared Aaron MamanniD· 1 shared Benjamin BesseiD· 1 shared David PlanchardiD· 1 shared Elsa BernardiD· 1 shared Francesca BugiottiiD· 1 shared Julien AdamiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersCancer Biology

Hakim BenkiraneORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 9, 2026

SHERLOC: An interpretable deep learning model for longitudinal circulating tumor DNA data in survival analysis

Aaron Mamann, Jyotishka Das, Hakim Benkirane…·Paul-Henry Cournède

SHERLOC is a deep learning model for survival analysis using longitudinal ctDNA data, showing improved discrimination and calibration over existing methods in non-small-cell lung cancer.

DOI 10.64898/2026.06.04.730097

humanbulk RNA-seq

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Cancer BiologyPLoS Computational BiologyPeer-reviewedJun 17, 2025

Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology

Hakim Benkirane, Maria Vakalopoulou, David Planchard…·Paul-Henry Cournède

This paper introduces a deep learning framework for integrating multimodal cancer data, showing improved performance and interpretability across TCGA datasets.

22 citationstop 3%

humanbulk RNA-seq

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