Lu J - Search Results

1

Machine Learning for Exposure-Response Analysis: Methodological Considerations and Confirmation of Their Importance via Computational Experimentations.

Harun R, Yang E, Kassir N, Zhang W, Lu J. Harun R, et al. Among authors: lu j. Pharmaceutics. 2023 Apr 30;15(5):1381. doi: 10.3390/pharmaceutics15051381. Pharmaceutics. 2023. PMID: 37242624 Free PMC article.

2

Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning-Based Investigation.

Harun R, Sane R, Yoshida K, Sutaria DS, Jin JY, Lu J. Harun R, et al. Among authors: lu j. JCO Clin Cancer Inform. 2023 Apr;7:e2200168. doi: 10.1200/CCI.22.00168. JCO Clin Cancer Inform. 2023. PMID: 37116107 Free PMC article.

3

Machine Learning-Based Quantification of Patient Factors Impacting Remission in Patients With Ulcerative Colitis: Insights from Etrolizumab Phase III Clinical Trials.

Harun R, Lu J, Kassir N, Zhang W. Harun R, et al. Among authors: lu j. Clin Pharmacol Ther. 2024 Apr;115(4):815-824. doi: 10.1002/cpt.3076. Epub 2023 Oct 24. Clin Pharmacol Ther. 2024. PMID: 37828747

4

Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors.

Velasquez E, Kassir N, Cheeti S, Kuruvilla D, Sane R, Dang S, Miles D, Lu J. Velasquez E, et al. Among authors: lu j. Front Artif Intell. 2024 Jun 11;7:1412865. doi: 10.3389/frai.2024.1412865. eCollection 2024. Front Artif Intell. 2024. PMID: 38919267 Free PMC article.

5

Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction.

Liu G, Lu D, Lu J. Liu G, et al. Among authors: lu j, lu d. CPT Pharmacometrics Syst Pharmacol. 2021 May;10(5):478-488. doi: 10.1002/psp4.12621. Epub 2021 May 2. CPT Pharmacometrics Syst Pharmacol. 2021. PMID: 33793093 Free PMC article.

6

Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs.

Liu G, Lu J, Lim HS, Jin JY, Lu D. Liu G, et al. Among authors: lu j, lu d. CPT Pharmacometrics Syst Pharmacol. 2022 Dec;11(12):1614-1627. doi: 10.1002/psp4.12871. Epub 2022 Oct 20. CPT Pharmacometrics Syst Pharmacol. 2022. PMID: 36193885 Free PMC article.

7

Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data.

Sundrani S, Lu J. Sundrani S, et al. Among authors: lu j. JCO Clin Cancer Inform. 2021 Mar;5:364-378. doi: 10.1200/CCI.20.00172. JCO Clin Cancer Inform. 2021. PMID: 33797958

8

Update to improve reproducibility and interpretability: A response to "Machine Learning for Tumor Growth Inhibition".

Chan P, Lu J, Bruno R, Jin JY. Chan P, et al. Among authors: lu j. CPT Pharmacometrics Syst Pharmacol. 2022 Mar;11(3):262-263. doi: 10.1002/psp4.12760. Epub 2022 Jan 31. CPT Pharmacometrics Syst Pharmacol. 2022. PMID: 35102724 Free PMC article. No abstract available.

9

Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE.

Laurie M, Lu J. Laurie M, et al. Among authors: lu j. NPJ Syst Biol Appl. 2023 Nov 18;9(1):58. doi: 10.1038/s41540-023-00317-1. NPJ Syst Biol Appl. 2023. PMID: 37980358 Free PMC article.

10

Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data.

Liu G, Brooks L, Canty J, Lu D, Jin JY, Lu J. Liu G, et al. Among authors: lu j, lu d. CPT Pharmacometrics Syst Pharmacol. 2024 May;13(5):870-879. doi: 10.1002/psp4.13124. Epub 2024 Mar 11. CPT Pharmacometrics Syst Pharmacol. 2024. PMID: 38465417 Free PMC article.

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