Author

Alexandra Hardy

ORCID 0000-0002-3027-8308Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Agnes KnopfiD· 1 shared Alberto RomagnoniiD· 1 shared Alexandre GrimaldiiD· 1 shared Andre L. MoreiraiD· 1 shared Andrew J. PierceiD· 1 shared Anna ThalleriD· 1 shared Aurélie SwalduziD· 1 shared Benoît SchmauchiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPharmacology & Toxicology

Agnes KnopfORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintFeb 10, 2026

OKN4395, a first-in-class EP2/EP4/DP1 triple antagonist reprograms prostanoid-driven immunosuppression to restore antitumor immunity

Maximilien Grandclaudon, Morgane Boulch, Anna Thaller…·Andrew J. Pierce

OKN4395, a triple EP2/EP4/DP1 antagonist, restores antitumor immunity by reversing prostanoid-driven immunosuppression and synergizes with anti-PD1 therapy.

DOI 10.64898/2026.02.08.704632

experimental assaydrug response / drug discovery

𝕏 PostBluesky

BioinformaticsiSciencePeer-reviewedDec 20, 2024

Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients.

Benoît Schmauch, Vincent Cabeli, Omar Darwiche Domingues…·Matteo Cesaroni

This study uses deep learning to predict YAP1/TEAD activity from histology slides, linking histological patterns to disease aggressiveness in cancer patients.

2 citations

humanspatial transcriptomics

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