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)....

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Bibliographic Details
Main Authors: Aghilas Akkache, Lisa Clavier, Oleh Mezhenskyi, Kateryna Andriienkova, Thibaut Soubrié, Philippe Lavalle, Nihal Engin Vrana, Varvara Gribova
Format: Article
Language:English
Published: Wiley-VCH 2024-03-01
Series:Advanced NanoBiomed Research
Subjects:
Bayesian logistic regression
in silico
inflammation
machine learning
polymers
predictive models
Online Access:https://doi.org/10.1002/anbr.202300085

Internet

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

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