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

Cherry, C., Andorko, J.I., Krishnan, K., Mejías, J.C., Nguyễn, H., Stivers, K.B., Gray-Gaillard, E., Ruta, A., Han, J., Hamada, N., Hamada, M., Sturmlechner, I., Trewartha, S., Michel, J., Huyer, L.D., Wolf, M.T., Tam, A., Peña, A.N., Keerthivasan, S., &amp; Saux, C.J.L. (2023). Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies. <em>GeroScience</em>. https://doi.org/10.1007/s11357-023-00785-7

Cherry C, Andorko JI, Krishnan K, Mejías JC, Nguyễn H, Stivers KB, et al. Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies. GeroScience. 2023. doi:10.1007/s11357-023-00785-7.

@unpublished{christopher2023Transf, title = {Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies}, author = {Christopher Cherry and James I. Andorko and Kavita Krishnan and Joscelyn C. Mejías and Helen Nguyễn and Katlin B. Stivers and Elise Gray-Gaillard and Anna Ruta and Jin Han and Naomi Hamada and Masakazu Hamada and Ines Sturmlechner and Shawn Trewartha and John Michel and Locke Davenport Huyer and Matthew T. Wolf and Ada Tam and Alexis N. Peña and Shilpa Keerthivasan and Claude Jourdan Le Saux and Elana J. Fertig and Darren J. Baker and Franck Housseau and Jan M. van Deursen and Drew M. Pardoll}, journal = {GeroScience}, year = {2023}, doi = {10.1007/s11357-023-00785-7}, }