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

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Foilsithe in:Biodata Mining vol. 18 (2025), p. 1-27
Príomhchruthaitheoir: Ceylan, Seda
Rannpháirtithe: Demir, Didem, Harris, Cayla, Semih Latif İpek, Vavourakis, Vasileios, Manca, Marco, Dubrac, Sandrine, Bauer, Roman
Foilsithe / Cruthaithe:
Springer Nature B.V.
Ábhair:
Rochtain ar líne:Citation/Abstract
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100 1 |a Ceylan, Seda 
245 1 |a Skin in the game: a review of computational models of the skin 
260 |b Springer Nature B.V.  |c 2025 
513 |a Journal Article 
520 3 |a With 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. 
653 |a Infections 
653 |a Software 
653 |a Skin diseases 
653 |a Dermatitis 
653 |a Psoriasis 
653 |a Skin cancer 
653 |a Computer peripherals 
653 |a Surgical instruments 
653 |a Modelling 
653 |a Adipocytes 
653 |a Dermatology 
653 |a Knowledge management 
653 |a Drug development 
653 |a Computer applications 
653 |a Cosmetics 
653 |a Biological activity 
653 |a Research & development--R&D 
653 |a Data collection 
653 |a Medical innovations 
653 |a Simulation 
653 |a Biomechanics 
653 |a Fibroblasts 
653 |a Hypotheses 
653 |a Wound healing 
653 |a Melanoma 
653 |a Mathematical models 
653 |a Signal transduction 
653 |a Social 
700 1 |a Demir, Didem 
700 1 |a Harris, Cayla 
700 1 |a Semih Latif İpek 
700 1 |a Vavourakis, Vasileios 
700 1 |a Manca, Marco 
700 1 |a Dubrac, Sandrine 
700 1 |a Bauer, Roman 
773 0 |t Biodata Mining  |g vol. 18 (2025), p. 1-27 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3247129380/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3247129380/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3247129380/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch