Skin in the game: a review of computational models of the skin

Basit Öğe Kaydı
dc.contributor.authorCeylan, Seda
dc.contributor.authorDemir, Didem
dc.contributor.authorHarris, Cayla
dc.contributor.authorIpek, Semih Latif
dc.contributor.authorVavourakis, Vasileios
dc.contributor.authorManca, Marco
dc.contributor.authorDubrac, Sandrine
dc.contributor.authorBauer, Roman
dc.date.accessioned2026-02-27T07:33:27Z
dc.date.available2026-02-27T07:33:27Z
dc.date.issued2025
dc.description.abstractWith the vast advances in computing technology, computational (or in silico) modelling has emerged as a transformative tool in dermatology. These findings can provide novel insights into complex biological processes and aid in the development of innovative therapeutic and regenerative strategies for the skin. Modelling combines experimental data and knowledge across multiple disciplines, serving as a common framework to elucidate the workings of the skin. From a biomedical perspective, the mechanisms of skin diseases can be studied by simulating cellular interactions and signalling pathways. Computational investigations of these mechanisms can be categorised into two distinct approaches: data-driven and model-based. Data-driven approaches allow the diagnosis of skin diseases on the basis of data collection via imaging or feedback from portable sensors, often yielding performance exceeding that of their human counterparts. Model-based methods are well suited to address topics such as skin cell biology and biomechanics, contributing to wound healing and skin cancer research. Furthermore, such modelling has found utility in the development of virtual skin models and skin-on-chip devices, enabling the prediction of skin responses to various substances, including cosmetics and drugs. In the realm of dermatological surgery, computational tools have been instrumental in optimizing surgical planning and improving clinical outcomes. While significant advancements have been made, challenges such as data availability, model validation, and interdisciplinary collaboration persist. This review highlights the current state-of-the-art in computational modeling in dermatology, identifies key challenges, and outlines its prospects.
dc.description.sponsorshipEuropean Cooperation in Science and Technology,Belgium [CA21108]; COST (European Cooperation in Science and Technology)
dc.description.sponsorshipThe article is based upon work from COST Action NETSKINMODELS CA21108 supported by COST (European Cooperation in Science and Technology).
dc.identifier.doi10.1186/s13040-025-00471-8
dc.identifier.issn1756-0381
dc.identifier.issue1
dc.identifier.pmid40830504
dc.identifier.urihttp://dx.doi.org/10.1186/s13040-025-00471-8
dc.identifier.urihttps://hdl.handle.net/20.500.14669/4586
dc.identifier.volume18
dc.identifier.wosWOS:001552799900001
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherBMC
dc.relation.ispartofBiodata Mining
dc.relation.publicationcategoryMakale - Uluslararas� Hakemli Dergi - Kurum ��retim Eleman�
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20260302
dc.subjectSkin
dc.subjectDermis
dc.subjectEpidermis
dc.subjectModelling
dc.subjectSkin biomechanics
dc.subjectComputational dermatology
dc.subjectIn silico
dc.titleSkin in the game: a review of computational models of the skin
dc.typeReview

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu