A Computational Platform Integrating a Mechanistic Model of Crohn’s Disease for Predicting Temporal Progression of Mucosal Damage and Healing

INTRODUCTION: Physicians are often required to make treatment decisions for patients with Crohn’s disease on the basis of limited objective information about the state of the patient’s gastrointestinal tissue while aiming to achieve mucosal healing. Tools to predict changes in mucosal health with tr...

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Detalles Bibliográficos
Autores principales: Venkatapurapu, Sai Phanindra, Iwakiri, Ryuichi, Udagawa, Eri, Patidar, Nikhil, Qi, Zhen, Takayama, Ryoko, Kumar, Kei, Sato, Yuki, Behar, Marcelo, Offner, Patrick, Dwivedi, Gaurav, Miyasaka, Haruna, Suzuki, Ryohsuke Ken, Hamada, Anna Lissa, D’Alessandro, Paul M., Fernandez, Jovelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239932/
https://www.ncbi.nlm.nih.gov/pubmed/35581423
http://dx.doi.org/10.1007/s12325-022-02144-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239932/
https://www.ncbi.nlm.nih.gov/pubmed/35581423
http://dx.doi.org/10.1007/s12325-022-02144-y

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