James Lu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 11

Top Topics

Explanatory Variables

Survival Prediction

Clinical Studies

Top Venues

PLoS Comput. Biol.

Nat. Mach. Intell.

Publications

Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu
Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors. Frontiers Artif. Intell. 7 (2024)
Samira Pakravan, Nikolaos Evangelou, Maxime Usdin, Logan Brooks, James Lu
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE. CoRR (2024)
Mark Laurie, James Lu
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE. CoRR (2023)
You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. MLCB (2023)
Omid Bazgir, Zichen Wang, Marc Hafner, James Lu
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction. CoRR (2023)
James Lu, Brendan Bender, Jin Y. Jin, Yuanfang Guan
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling. Nat. Mach. Intell. 3 (8) (2021)
Sameer Sundrani, James Lu
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data. CoRR (2021)
James Lu, Brendan Bender, Jin Y. Jin, Yuanfang Guan
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling. CoRR (2020)
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 Comput. Biol. 16 (7) (2020)
Ricardo Henao, James Lu, Joseph E. Lucas, Jeffrey M. Ferranti, Lawrence Carin
Electronic Health Record Analysis via Deep Poisson Factor Models. J. Mach. Learn. Res. 17 (2016)
Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin
Deep Poisson Factor Modeling. NIPS (2015)
James Lu, Katrin Hübner, M. Nazeem Nanjee, Eliot A. Brinton, Norman A. Mazer
Model of Lipoprotein Metabolism and Kinetics for the Evaluation of Targets and Biomarkers in the Reverse Cholesterol Transport Pathway. PLoS Comput. Biol. 10 (3) (2014)
Heinz Koeppl, Marc Hafner, James Lu
Mapping behavioral specifications to model parameters in synthetic biology. BMC Bioinform. 14 (S-10) (2013)
Elias August, James Lu, Heinz Koeppl
Trajectory enclosures for nonlinear systems with uncertain initial conditions and parameters. ACC (2012)
Elias August, Yongqiang Wang, Francis J. Doyle, James Lu, Heinz Koeppl
Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. ACC (2011)
James Lu, Heinz W. Engl, Rainer Machné, Peter Schuster
Regulatory Module. BIRD (2007)
James Lu, Heinz W. Engl, Peter Schuster
Inverse bifurcation analysis: application to simple gene systems. Algorithms Mol. Biol. 1 (2006)
Savio Chau, Van Dang, Joseph Xu, James Lu
An Automatic Technique to Synthesize Avionics Architecture. AHS (2006)
Rainer Machné, Andrew Finney, Stefan Müller, James Lu, Stefanie Widder, Christoph Flamm
The SBML ODE Solver Library: a native API for symbolic and fast numerical analysis of reaction networks. Bioinform. 22 (11) (2006)
James Lu, David L. Darmofal
Higher-Dimensional Integration with Gaussian Weight for Applications in Probabilistic Design. SIAM J. Sci. Comput. 26 (2) (2004)
James Lu, David L. Darmofal
A Quasi-Minimal Residual Method for Simultaneous Primal-Dual Solutions and Superconvergent Functional Estimates. SIAM J. Sci. Comput. 24 (5) (2003)