Author

Dan Milner

Center for Global Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Albert Eusik KimiD· 1 shared Alekhya Gunturi· 1 shared Alfredo G. MayoriD· 1 shared Ali BrowniD· 1 shared Christophe Millien· 1 shared Christopher A. MoxoniD· 1 shared Christopher P. BridgeiD· 1 shared Cinta MoraledaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Albert Eusik KimORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Severe malarial anaemia is associated with parasite enrichment and host alterations in the bone marrow

Joao da Silva Filho, Elamaran Meibalan, Himanshu Gupta, Dario Beraldi, Selina E. R. Bopp, Dyann F. Wirth, Christopher A. Moxon, Eusébio Macete, Cinta Moraleda, Ruth Aguilar, Alfredo G. Mayor, Dan Milner, Clara Menéndez, Matthias Marti

This study shows that severe malarial anaemia is linked to increased red blood cell production, iron metabolism, tissue injury, and parasite biomass in bone marrow, with better resolution from bone marrow analysis than peripheral blood.

bioRxiv · Apr 29, 2026 · PreprintMicrobiology

ESPWA: a deep learning tool to inform precision-based use of endocrine therapy in resource-limited settings

Dagoberto Pulido-Arias, Rebecca Rose Henderson, Milit Patel, Christophe Millien, Joarly Lomil, Marie Djenane Jose, Gabriel Flambert, Jean Bontemps, Emmanuel Georges, Alekhya Gunturi, Palak Mayur Shah, Tiago Goncalves, Jayashree Kalpathy–Cramer, Elizabeth Robins Gerstner, Seth Andrew Wander, , Albert Eusik Kim

ESPWA is a deep learning tool developed to improve endocrine therapy precision in low-resource settings by accurately predicting ER status from H&E slides in Haitian patients.

bioRxiv · Aug 27, 2025 · PreprintCancer Biology