20.500.12556/DKUM-88631 Networks behind the morphology and structural design of living systems Technological advances in imaging techniques and biometric data acquisition have enabled us to apply methods of network science to study the morphology and structural design of organelles, organs, and tissues, as well as the coordinated interactions among them that yield a healthy physiology at the level of whole organisms. We here review research dedicated to these advances, in particular focusing on networks between cells, the topology of multicellular structures, neural interactions, fluid transportation networks, and anatomical networks. The percolation of blood vessels, structural connectivity within the brain, the porous structure of bones, and relations between different anatomical parts of the human body are just some of the examples that we explore in detail. We argue and show that the models, methods, and algorithms developed in the realm of network science are ushering in a new era of network-based inquiry into the morphology and structural design of living systems in the broadest possible terms. We also emphasize that the need and applicability of this research is likely to increase significantly in the years to come due to the rapid progress made in the development of bioartificial substitutes and tissue engineering. network morphology structural properties statistical physics omrežje morfologija strukturne lastnost statistična fizika true true true Elsevier Angleški jezik Slovenski jezik Članek v reviji 2024-05-17 03:18:31 2024-09-17 13:44:56 2024-09-28 03:21:45 0000-00-00 00:00:00 2022 0 0 str. 1-21 Vol. 41 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2022-02-10 2022-03-04 2022-03-10 53 100506627 10.1016/j.plrev.2022.03.001 1571-0645 RAZ_Gosak_Marko_2022.pdf RAZ_Gosak_Marko_2022.pdf 1 C809DC5192576312666C249712A966EA bbefc06d9785ca2b945d92ce64a5dbcbe842b8ba48195918fccde35dea9b9ff1 6d068389-7bfa-11ef-8e3e-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=185934 https://doi.org/10.1016/j.plrev.2022.03.001 0 2d7abb65-7bfa-11ef-8e3e-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=185933 Fakulteta za naravoslovje in matematiko Medicinska fakulteta 0 0 0