A model based on machine learning for the prediction of cyclosporin A trough concentration in Chinese allo-HSCT patients-Reference-Cited by-同舟云学术

A model based on machine learning for the prediction of cyclosporin A trough concentration in Chinese allo-HSCT patients

Published:2022-11-16 Issue:1 Volume:16 Page:83-91
ISSN:1751-2433
Container-title:Expert Review of Clinical Pharmacology
language:en
Short-container-title:Expert Review of Clinical Pharmacology

Author:

Song Lin¹²,Huang Chen-Rong¹,Pan Shi-Zheng¹²,Zhu Jian-Guo¹,Cheng Zong-Qi¹,Yu Xun¹,Xue Ling¹,Xia Fan¹^ORCID,Zhang Jin-Yuan³,Wu De-Pei⁴,Miao Li-Yan¹²⁵

Affiliation:

1. Department of Pharmacy, the First Affiliated Hospital of Soochow University, Suzhou, China

2. College of Pharmaceutical Sciences, Soochow University, Suzhou, China

3. Beijing Medicinovo Technology Co. Ltd, Beijing, China

4. National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China

5. National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China

Funder

the Suzhou talent research project

Jiangsu Research Hospital Association for Precision Medication

National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University

Key R&D Program of Jiangsu Province

Publisher

Informa UK Limited

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/17512433.2023.2142561

Reference54 articles.

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4. Prophylaxis and management of graft versus host disease after stem-cell transplantation for haematological malignancies: updated consensus recommendations of the European Society for Blood and Marrow Transplantation

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