{"title":"用Gardos效应研究细胞稳态模型的预测能力","authors":"V. Lew","doi":"10.33594/000000593","DOIUrl":null,"url":null,"abstract":"Alexey Vereninov and collaborators pioneered the application of mathematical models of cellular homeostasis with ground-breaking contributions to the understanding of the mechanisms behind the dynamics of homeostatic changes in a variety of different cell types. As part of an issue dedicated to Vereninov’s memory, I thought that an example of the predictive potential of such models would be a fitting tribute to his work and achievements. The “Gardos effect” is the example chosen from our modelling experience.","PeriodicalId":74396,"journal":{"name":"Paracelsus proceedings of experimental medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Predictive Power of Cellular Homeostasis Models Illustrated with a Study of the Gardos Effect\",\"authors\":\"V. Lew\",\"doi\":\"10.33594/000000593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Alexey Vereninov and collaborators pioneered the application of mathematical models of cellular homeostasis with ground-breaking contributions to the understanding of the mechanisms behind the dynamics of homeostatic changes in a variety of different cell types. As part of an issue dedicated to Vereninov’s memory, I thought that an example of the predictive potential of such models would be a fitting tribute to his work and achievements. The “Gardos effect” is the example chosen from our modelling experience.\",\"PeriodicalId\":74396,\"journal\":{\"name\":\"Paracelsus proceedings of experimental medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Paracelsus proceedings of experimental medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33594/000000593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Paracelsus proceedings of experimental medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33594/000000593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Predictive Power of Cellular Homeostasis Models Illustrated with a Study of the Gardos Effect
Alexey Vereninov and collaborators pioneered the application of mathematical models of cellular homeostasis with ground-breaking contributions to the understanding of the mechanisms behind the dynamics of homeostatic changes in a variety of different cell types. As part of an issue dedicated to Vereninov’s memory, I thought that an example of the predictive potential of such models would be a fitting tribute to his work and achievements. The “Gardos effect” is the example chosen from our modelling experience.
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