James Lu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Hodgkin Lymphoma

Diffuse Large B Cell Lymphoma

Top Venues

Clinical pharmacology and therapeutics

CPT: pharmacometrics & systems pharmacology

Clinical and translational science

JCO clinical cancer informatics

This page only lists publications with an associated author ORCID identifier.

Publications

Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Brendan Bender, Chi-Chung Li, Mathilde Marchand, David C Turner, Feifei Li, Shweta Vadhavkar, Bei Wang, Rong Deng, James Lu, Jin Yan Jin, Chunze Li, Shen Yin, Michael Wei, Pascal Chanu
Population pharmacokinetics and CD20 binding dynamics for mosunetuzumab in relapsed/refractory B-cell non-Hodgkin lymphoma. Clinical and translational science 17 (6) (2024)
Gengbo Liu, Logan Brooks, John T Canty, Dan Lu, Jin Yan Jin, James Lu
Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data. CPT: pharmacometrics & systems pharmacology 13 (5) (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Gengbo Liu, Logan Brooks, John T Canty, Dan Lu, Jin Yan Jin, James Lu
Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data. CPT: pharmacometrics & systems pharmacology 13 (5) (2024)
Gengbo Liu, Logan Brooks, John T Canty, Dan Lu, Jin Yan Jin, James Lu
Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data. CPT: pharmacometrics & systems pharmacology 13 (5) (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Gengbo Liu, Logan Brooks, John T Canty, Dan Lu, Jin Yan Jin, James Lu
Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data. CPT: pharmacometrics & systems pharmacology (2024)
Gengbo Liu, Logan Brooks, John T Canty, Dan Lu, Jin Yan Jin, James Lu
Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data. CPT: pharmacometrics & systems pharmacology 13 (5) (2024)
Brendan Bender, Chi-Chung Li, Mathilde Marchand, David C Turner, Feifei Li, Shweta Vadhavkar, Bei Wang, Rong Deng, James Lu, Jin Yan Jin, Chunze Li, Shen Yin, Michael Wei, Pascal Chanu
Population pharmacokinetics and CD20 binding dynamics for mosunetuzumab in relapsed/refractory B-cell non-Hodgkin lymphoma. Clinical and translational science 17 (6) (2024)
Brendan Bender, Chi-Chung Li, Mathilde Marchand, David C Turner, Feifei Li, Shweta Vadhavkar, Bei Wang, Rong Deng, James Lu, Jin Yan Jin, Chunze Li, Shen Yin, Michael Wei, Pascal Chanu
Population pharmacokinetics and CD20 binding dynamics for mosunetuzumab in relapsed/refractory B-cell non-Hodgkin lymphoma. Clinical and translational science 17 (6) (2024)
Brendan Bender, Chi-Chung Li, Mathilde Marchand, David C Turner, Feifei Li, Shweta Vadhavkar, Bei Wang, Rong Deng, James Lu, Jin Yan Jin, Chunze Li, Shen Yin, Michael Wei, Pascal Chanu
Population pharmacokinetics and CD20 binding dynamics for mosunetuzumab in relapsed/refractory B-cell non-Hodgkin lymphoma. Clinical and translational science 17 (6) (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Rashed Harun, James Lu, Nastya Kassir, Wenhui Zhang
Machine Learning-based Quantification of Patient Factors Impacting Remission in Patients with Ulcerative Colitis: Insights from Etrolizumab Phase III Clinical Trials. Clinical pharmacology and therapeutics (2023)
Rashed Harun, Rucha Sane, Kenta Yoshida, Dhruvitkumar S Sutaria, Jin Yan Jin, James Lu
Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning-Based Investigation. JCO clinical cancer informatics 7 (2023)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics (2023)
Rashed Harun, Eric Yang, Nastya Kassir, Wenhui Zhang, James Lu
Machine Learning for Exposure-Response Analysis: Methodological Considerations and Confirmation of Their Importance via Computational Experimentations. Pharmaceutics 15 (5) (2023)
Rashed Harun, Rucha Sane, Kenta Yoshida, Dhruvitkumar S Sutaria, Jin Yan Jin, James Lu
Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning-Based Investigation. JCO clinical cancer informatics 7 (2023)
Rashed Harun, Rucha Sane, Kenta Yoshida, Dhruvitkumar S Sutaria, Jin Yan Jin, James Lu
Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning-Based Investigation. JCO clinical cancer informatics 7 (2023)
Mark Laurie, James Lu
Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE. NPJ systems biology and applications 9 (1) (2023)
Nadia Terranova, Didier Renard, Mohamed H Shahin, Sujatha Menon, Youfang Cao, Cornelis E C A Hop, Sean Hayes, Kumpal Madrasi, Sven Stodtmann, Thomas Tensfeldt, Pavan Vaddady, Nicholas Ellinwood, James Lu
Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation & Quality (IQ) Consortium Perspective on Use Cases and Best Practices. Clinical pharmacology and therapeutics (2023)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning (AI/ML) for Precision Medicine. Clinical pharmacology and therapeutics (2023)
Gengbo Liu, James Lu, Hong Seo Lim, Jin Yan Jin, Dan Lu
Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs. CPT: pharmacometrics & systems pharmacology (2022)
Gengbo Liu, Dan Lu, James Lu
Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction. CPT: pharmacometrics & systems pharmacology 10 (5) (2021)
Sameer Sundrani, James Lu
Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data. JCO clinical cancer informatics 5 (2021)
Jennifer L Wilson, Dan Lu, Nick Corr, Aaron Fullerton, James Lu
An in vitro quantitative systems pharmacology approach for deconvolving mechanisms of drug-induced, multilineage cytopenias. PLoS computational biology 16 (7) (2020)