Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis

Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis

Abstract Predicting the therapeutic response to biologics before administration is a key clinical challenge in ulcerative colitis (UC). We previously reported a model for predicting the efficacy of vedolizumab (VDZ) for UC using a machine-learning approach. Ustekinumab (UST) is now available for tre...

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Bibliographic Details
Main Authors: Hiromu Morikubo, Ryuta Tojima, Tsubasa Maeda, Katsuyoshi Matsuoka, Minoru Matsuura, Jun Miyoshi, Satoshi Tamura, Tadakazu Hisamatsu
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Ulcerative colitis
Machine learning
Ustekinumab
Steroid-free clinical remission
Prediction model
Online Access:https://doi.org/10.1038/s41598-024-55126-1

Internet

https://doi.org/10.1038/s41598-024-55126-1

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