Multiscale Modeling in the Clinic: Drug Design and Development
Year: 2016
Type: review
Source: Annals of Biomedical Engineering
Institutions: University of California, Davis, University of Chicago, Pacific Northwest National Laboratory, Lehigh University, University of Houston, Indiana University Bloomington, Indiana University, Johns Hopkins University, Wake Forest University Health Sciences, Wake Forest University, University of Pennsylvania
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: U.S. Department of Energy, U.S. Environmental Protection Agency, National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Biomedical Imaging and Bioengineering
Awards: G1143625328, G1570752703, In silico safety pharmacology, Competitive Renewal of Development, Improvement and Extension of the Tissue Simu, Bridging multiple scales in modeling targeted drug nanocarrier delivery, Targeted Microcarrier Design and Optimization, Predictive multiscale in silico cardio-pharmacology, Adaptive Simulation to Enable Anatomic-scale Agent-based, Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancer, Development of a Multiscale Mechanistic Simulation of Acetaminophen Induced Liver, An Integrated Biometric Platform for Evaluation of Nanomedicine Delivery, Center for Interdisciplinary Study of Inflammatory Intestinal DIsorders (C-IID)
OpenAlex ID: W2287937249