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Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies

Christopher Cherry, James I. Andorko, Kavita Krishnan, Joscelyn C. Mejías, Helen Nguyễn, Katlin B. Stivers, Elise Gray-Gaillard, Anna Ruta, Jin Han, Naomi Hamada, Masakazu Hamada, Ines Sturmlechner, Shawn Trewartha, John Michel, Locke Davenport Huyer, Matthew T. Wolf, Ada Tam, Alexis N. Peña, Shilpa Keerthivasan, Claude Jourdan Le Saux, Elana J. Fertig, Darren J. Baker, Franck Housseau, Jan M. van Deursen, Drew M. Pardoll, Jennifer H. Elisseeff

2023GeroScience65 citationsDOIOpen Access PDF

Topics & Concepts

SenescenceIn vivoFibrosisPhenotypeCell biologyWound healingBiologyPathologyCancer researchNeuroscienceMedicineImmunologyGeneGeneticsTelomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomicsPlanarian Biology and Electrostimulation
Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies | Litcius