127561 20241125101142.0 doi 10.1016/j.isci.2023.107164 sideral 134573 ART-2023-134573 eng Camacho-Gomez, Daniel Universidad de Zaragoza A hybrid physics-based and data-driven framework for cellular biological systems: Application to the morphogenesis of organoids 2023 Access copy available to the general public Unrestricted How cells orchestrate their cellular functions remains a crucial question to unravel how they organize in different patterns. We present a framework based on artificial intelligence to advance the understanding of how cell functions are coordinated spatially and temporally in biological systems. It consists of a hybrid physics-based model that integrates both mechanical interactions and cell functions with a data-driven model that regulates the cellular decision-making process through a deep learning algorithm trained on image data metrics. To illustrate our approach, we used data from 3D cultures of murine pancreatic ductal adenocarcinoma cells (PDAC) grown in Matrigel as tumor organoids. Our approach allowed us to find the underlying principles through which cells activate different cell processes to self-organize in different patterns according to the specific microenvironmental conditions. The framework proposed here expands the tools for simulating biological systems at the cellular level, providing a novel perspective to unravel morphogenetic patterns. info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2021-122409OB-C21 info:eu-repo/grantAgreement/ES/MICINN/PID2021-124271OB-I00 info:eu-repo/grantAgreement/ES/MICINN/PLEC2021-007709/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.6 2023 MULTIDISCIPLINARY SCIENCES 19 / 134 = 0.142 2023 Q1 T1 1.497 2023 Multidisciplinary 2023 Q1 7.2 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sorzabal-Bellido, Ioritz Ortiz-de-Solorzano, Carlos García-Aznar, José Manuel Universidad de Zaragoza (orcid)0000-0002-9864-7683 Gómez-Benito, María José Universidad de Zaragoza (orcid)0000-0002-1878-8997 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 26, 7 (2023), 107164 [24 pp.] iScience ISCIENCE 2589-0042 4837410 http://zaguan.unizar.es/record/127561/files/texto_completo.pdf Versión publicada 1319346 http://zaguan.unizar.es/record/127561/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127561 articulos driver 2024-11-22-12:03:00 ARTICLE