Artificial intelligence–guided precision treatment of chronic kidney <scp>disease</scp> – <scp>mineral</scp> bone disorder-Reference-Cited by-同舟云学术

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Artificial intelligence–guided precision treatment of chronic kidney disease – mineral bone disorder

Published:2022-08-03 Issue:10 Volume:11 Page:1305-1315
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacom & Syst Pharma

Author:

Gaweda Adam E.¹,Lederer Eleanor D.²³⁴,Brier Michael E.¹⁵

Affiliation:

1. Division of Nephrology, Department of Medicine University of Louisville School of Medicine Louisville Kentucky USA

2. Medical Services VA North Texas Health Sciences Center Dallas Texas USA

3. Division of Nephrology, Department of Medicine University of Texas Southwestern Medical Center Dallas Texas USA

4. Charles and Jane Pak Center for Mineral Metabolism and Clinical Research University of Texas Southwestern Medical Center Dallas Texas USA

5. Research Service Robley Rex VA Medical Center Louisville Kentucky USA

Funder

U.S. Department of Veterans Affairs

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12843

Reference23 articles.

1. FDA Advisory Meeting Clinical Pharmacology Review Utilizes a Quantitative Systems Pharmacology (QSP) Model: A Watershed Moment?

2. Mineral Metabolism, Mortality, and Morbidity in Maintenance Hemodialysis

3. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis

4. Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization

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1. Leveraging quantitative systems pharmacology and artificial intelligence to advance treatment of chronic kidney disease mineral bone disorder;American Journal of Physiology-Renal Physiology;2024-09-01

2. Systematic literature review on reinforcement learning in non-communicable disease interventions;Artificial Intelligence in Medicine;2024-08

3. Artificial Intelligence and Machine Learning in Predicting Intradialytic Hypotension in Hemodialysis Patients: A Systematic Review;Cureus;2024-07-25

4. Application of artificial intelligence to chronic kidney disease mineral bone disorder;Clinical Kidney Journal;2024-06

5. Beyond Population‐Level Targets for Drug Concentrations: Precision Dosing Needs Individual‐Level Targets that Include Superior Biomarkers of Drug Responses;Clinical Pharmacology & Therapeutics;2024-02-08

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