Author

Duy-Cat Can

Centre Hospitalier Universitaire VaudoisORCID 0000-0002-6861-2893Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Giuseppe PantaleoiD· 2 shared Oliver Y. ChéniD· 2 shared Ana Alcaraz‐SernaiD· 1 shared Bangdong Zhi· 1 shared Christelle Schneuwly DiaziD· 1 shared Cloé BrennaiD· 1 shared Constantinos PetrovasiD· 1 shared Craig W. FenwickiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersImmunology

Giuseppe PantaleoORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Targeting PD-1+ T-cells with Chimeric Antigen Receptors to reduce the HIV Reservoir

Laura Ermellino, Riddhima Banga, Spiros Georgakis, Nicole P. Kadzioch, Francesco A. Procopio, Ana Alcaraz‐Serna, Oscar Alfageme-Abello, Raphaël Porret, Rebecca Cecchin, Michail Orfanakis, Rachel Schelling, Cloé Brenna, Duy-Cat Can, Mathilde Foglierini, Oliver Y. Chén, , Yannick D. Müller

This study designs PD-1-targeting CAR-T-cells to reduce the HIV reservoir by depleting specific T-cell subpopulations in HIV-infected humanized mice.

Science Advances · Apr 24, 2026Peer-reviewedImmunology

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's Disease

Duy-Thanh Vu, Duy-Cat Can, Christelle Schneuwly Diaz, Julien Bodelet, Guillaume E. Blanc, Huy Phan, Gilles Allali, Viet-Dung Nguyen, Hengyi Cao, Xingru He, Yannick Muller, Bangdong Zhi, Haochang Shou, Haoyu Zhang, Wei He, , The Alzheimer's Disease Neuroimaging Initiative (ADNI)

This paper introduces re-PLS Learning to predict multiple AD outcomes from brain cortical thickness, identifying joint predictive regions across cohorts.

bioRxiv · Mar 11, 2024 · PreprintNeuroscience