Machine Learning‐Based Prediction of Immunomodulatory Properties of Polymers: Toward a Faster and Easier Development of Anti‐Inflammatory Biomaterials

Machine Learning‐Based Prediction of Immunomodulatory Properties of Polymers: Toward a Faster and Easier Development of Anti‐Inflammatory Biomaterials

In biomaterials development, creating materials with desirable properties can be a time‐consuming and resource‐intensive process, often relying on serendipitous discoveries. A potential route to accelerate this process is to employ artificial intelligence methodologies such as machine learning (ML)....

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Aghilas Akkache, Lisa Clavier, Oleh Mezhenskyi, Kateryna Andriienkova, Thibaut Soubrié, Philippe Lavalle, Nihal Engin Vrana, Varvara Gribova
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Wiley-VCH 2024-03-01
Ráidu:Advanced NanoBiomed Research
Fáttát:
Bayesian logistic regression
in silico
inflammation
machine learning
polymers
predictive models
Liŋkkat:https://doi.org/10.1002/anbr.202300085

Interneahtta

https://doi.org/10.1002/anbr.202300085

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