Andy Zhu
Takeda (United States)(US)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Mathematical Biology Tumor Growth, Monoclonal and Polyclonal Antibodies Research, Machine Learning in Materials Science, Glioma Diagnosis and Treatment
Most-Cited Works
- → Quantitative Systems Pharmacology Approaches for Immuno‐Oncology: Adding Virtual Patients to the Development Paradigm(2020)70 cited
- → Quantitative Translational Modeling to Facilitate Preclinical to Clinical Efficacy & Toxicity Translation in Oncology(2018)31 cited
- → A Unified System for Molecular Property Predictions: Oloren ChemEngine and its Applications(2022)8 cited
- → TAK-994 mechanistic investigation into drug-induced liver injury(2025)7 cited
- → Accelerating Parameter Inference in Diffusion-Reaction Models of Glioblastoma Using Physics-Informed Neural Networks(2022)7 cited
- → A Black Box Comparison of Machine Learning Reverse Image Search for Cybersecurity OSINT Applications(2023)5 cited
- → Applications of Quantitative System Pharmacology Modeling to Model-Informed Drug Development(2022)4 cited
- → Pre-Owned Car Price Prediction Using Machine Learning Techniques(2023)3 cited
- → The role of quantitative modeling and simulation in translational science(2020)
- → Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans(2023)