{"id":5197,"date":"2026-09-16T00:27:23","date_gmt":"2026-09-16T04:27:23","guid":{"rendered":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/2026\/06\/03\/ccb-2026-june-2\/"},"modified":"2026-09-16T12:39:16","modified_gmt":"2026-09-16T16:39:16","slug":"eran-grants","status":"publish","type":"post","link":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/2026\/09\/16\/eran-grants\/","title":{"rendered":"Dr. Agmon is funded to co-lead NIH MOSAIC project"},"content":{"rendered":"<p class=\"x_PDq2pG_selectionAnchorContainer\"><span data-olk-copy-source=\"MessageBody\">Congratulations to Eran Agmon for becoming a project investigator on the newly funded NIH MOSAIC (Modeling Of Sex-specific metabolism Across Interacting Communities) project, part of NIH\u2019s new $21 million Computational Modeling of Hormone Homeostasis Initiative. The initiative is advancing human-based computational models to better understand how sex-specific hormone dynamics influence treatment response, efficacy, and toxicity. MOSAIC will develop an open-source, multiscale computational framework connecting hormones, metabolism, microbial communities, tissue physiology, and therapeutic interventions across the body, initially focusing on bacterial vaginosis and metabolic dysfunction-associated steatotic liver disease. Agmon and the CCAM team will lead the project\u2019s software development and multiscale model-integration effort, building the infrastructure that connects metabolic, microbiome, agent-based, and whole-body physiological models into a unified computational system. The collaboration includes Glynis Kolling, Shayn Peirce-Cottler, Monique Vaughan, and Isabelle Derr\u00e9 at the University of Virginia; Feilim Mac Gabhann at Johns Hopkins University; Salman Khetani at the University of Illinois Chicago; Kelly Arnold and Vincent Young at the University of Michigan; and Eran Agmon at UConn Health.<\/span><\/p>\n<p><span>NIH announcement: <a href=\"https:\/\/www.nih.gov\/news-events\/news-releases\/nih-launches-21-million-initiative-improve-understanding-sex-specific-hormonal-biology?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" class=\"x_decorated-link\" data-start=\"1324\" data-end=\"1456\" data-is-last-node=\"\" data-outlook-id=\"70218ca1-3da1-4cea-bb88-dee9c3a5a1d3\" data-linkindex=\"0\" title=\"https:\/\/www.nih.gov\/news-events\/news-releases\/nih-launches-21-million-initiative-improve-understanding-sex-specific-hormonal-biology?utm_source=chatgpt.com\">https:\/\/www.nih.gov\/news-events\/news-releases\/nih-launches-21-million-initiative-improve-understanding-sex-specific-hormonal-biology<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to Eran Agmon for becoming a project investigator on the newly funded NIH MOSAIC (Modeling Of Sex-specific metabolism Across Interacting Communities) project, part of NIH\u2019s new $21 million Computational Modeling of Hormone Homeostasis Initiative. The initiative is advancing human-based computational models to better understand how sex-specific hormone dynamics influence treatment response, efficacy, and toxicity. [&hellip;]<\/p>\n","protected":false},"author":398,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wds_primary_category":0,"footnotes":""},"categories":[26],"tags":[],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-09-24 02:34:03","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts\/5197"}],"collection":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/users\/398"}],"replies":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/comments?post=5197"}],"version-history":[{"count":2,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts\/5197\/revisions"}],"predecessor-version":[{"id":5199,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts\/5197\/revisions\/5199"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/media?parent=5197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/categories?post=5197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/tags?post=5197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}