Author

María Herrera

Universidad de la República de UruguayORCID 0000-0002-3188-967XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Ana HernándeziD· 1 shared Arturo PuyoliD· 1 shared Carolina Farías· 1 shared Cassian AftingiD· 1 shared Cecilia MathóiD· 1 shared Christina SchlagheckiD· 1 shared Claudio Rodríguez-Camejo· 1 shared Encarnación Sánchez Salvador· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenomics

Ana HernándezORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintApr 8, 2026

Links Between Gut Microbiota of Uruguayan Infants, Breast Milk Composition, and Maternal Factors During Exclusive Breastfeeding

María Herrera, Cecilia Mathó, Joaquín Pereira-Pagola…·Ana Hernández

The paper examines the gut microbiota of Uruguayan infants during exclusive breastfeeding, linking it to breast milk composition, fecal IgA, and maternal factors, finding delivery mode influences microbiota composition and correlations.

DOI 10.64898/2025.12.16.691825

humanmetagenomics

Developmental BiologyPLoS BiologyPeer-reviewedJan 27, 2026

Deep learning predicts tissue outcomes in retinal organoids

Cassian Afting, Norin Bhatti, Christina Schlagheck…·Tarik Exner

This paper uses deep learning to predict tissue outcomes in retinal organoids before they are visually discernible, improving understanding of developmental trajectories.

3 citationstop 5%

humanimaging