Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis

Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (VDZ) before administration is an unmet need for optimizing individual patient treatment. We hypothesized that the machine-learning approach with daily clinical information can be a new, promising stra...

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Detalles Bibliográficos
Autores principales: Miyoshi, Jun, Maeda, Tsubasa, Matsuoka, Katsuyoshi, Saito, Daisuke, Miyoshi, Sawako, Matsuura, Minoru, Okamoto, Susumu, Tamura, Satoshi, Hisamatsu, Tadakazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361029/
https://www.ncbi.nlm.nih.gov/pubmed/34385588
http://dx.doi.org/10.1038/s41598-021-96019-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361029/
https://www.ncbi.nlm.nih.gov/pubmed/34385588
http://dx.doi.org/10.1038/s41598-021-96019-x

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