A recent publication in the Journal of PK/PD presents a modeling framework for predicting clinical drug induced neutropenia from in vitro bone marrow studies and its application to a cell cycle inhibitor. W. Chen, B. Boras, T. Sung, Y. Yu, J. Zheng, D. Wang, W. Hu, M.E. Spilker, D.Z. D’Argenio. A Physiological Model of Granulopoiesis…Continue Reading Predicting Drug Induced Neutropenia from in vitro Studies
Recent results of model-based “functional biomarkers” were presented in the IEEE Conference on Engineering in Medicine & Biology (San Diego, August 2012) that demonstrate the potential for improved diagnosis of early-stage Alzheimer’s Disease (AD) using dynamic nonlinear models of cerebral hemodynamics obtained from clinical time-series data via our novel modeling methods employing Principal Dynamic Modes….Continue Reading Model-based Biomarkers for Alzheimer’s Disease
An extensive overview of the efforts that have been made to better understand the pathophysiology of metabolic syndrome using computational modeling was published in the 2013 volume of IEEE Reviews in Biomedical Engineering. The review also introduces the notion that sleep-disordered breathing may play an important role in promoting the development of metabolic syndrome in…Continue Reading Modeling the Metabolic Syndrome
A recent publication in the IEEE Transactions on Neural Systems and Rehabilitation Engineering presents the application and hardware fabrication of the multi-input, multi-output (MIMO) nonlinear model for a hippocampal cognitive prosthesis. The modeling results show that the MIMO model can accurate predict the hippocampal CA1 (output) spiking activity based on the ongoing hippocampal CA3 (input)…Continue Reading MIMO Nonlinear Dynamical Modeling for a Hippocampal