David Z. D'Argenio received his Bachelors degree in Electrical Engineering from the University of Dayton in 1972, M.S. in Electrical Engineering from the Pennsylvania State University in 1974, and Ph.D. in Biomedical Engineering from USC in 1979. He was an American Heart Association Fellow in cardiology at USC in 1979. During 1988, Dr. D'Argenio was a Visiting Scientist at Saint Jude Children's Research Hospital in Memphis. From 1993 to 1995 he served as Associate Dean for Academic Affairs in the School of Engineering, and since 1996 he has been the Chairman of the Department of Biomedical Engineering.

Dr. D'Argenio is Co-Director, together with Vasilis Z. Marmarelis, of the Biomedical Simulations Resource (BMSR) at USC. The BMSR is funded by the National Center for Research Resources of the NIH to develop advanced methods for biomedical modeling and simulation for use by the biomedical research community.

Dr. D'Argenio's research focuses on the development of advanced modeling and computational methods for studying the absorption, distribution and elimination of therapeutic drugs (pharmacokinetics) and for understanding how drugs produce their effects (pharmacodynamics). Recent research projects include:

• Modeling Drug Interactions of anti-cancer and anti-viral drugs
  
• Nonlinear Bayesian Forcasting using Markov Chain Monte Carlo Methods
  
• Pharmacodynamic Model of Warfarin's Action on Clotting Factors
  
• Topotecan Kinetics in Tumors from Microdialysis Data
  
• Control of Uncertain Pharmacodynamics Processes with Application to Terbutaline
  
• Cellular Kinetics of the Anti-Viral Agents PMPA and PMEA
  
• Targeting the systemic exposure of the anticancer drug Teniposide
  
• A model of intestinal phosphate absorption from in vivo data
  
• Neural networks for nonlinear Bayesian estimation
  
• Modeling Tc-99m DMSA kinetics from imaging data
  
• Stochastic control of Theophylline therapy
  
• Adaptive control of Amioglyioside antibiotics
  
• Optimal sampling times for pharmacokinetic experiments
  

Dr. D'Argenio has also developed, together with Dr. Alan Schumitzky of the Department of Mathamatics at USC, the ADAPT software package for pharmacokinetic/pharmacodynamic systems analysis. ADAPT is a computational tool for basic and clinical research scientists involved in therapeutic drug development. It is designed to facilitate the discovery, exploration and application of the underlying pharmacokinetic and pharmacodynamic properties of therapeutic drugs.

Selected Publications

Drusano, G.L., D.Z. D'Argenio, S.L. Preston, C. Barone, W. Symonds, S. LaFon, M. Rogers, W. Prince, A. Bye & J.A. Bilello. Use of drug effect interaction modeling with Monte Carlo simulation to examine the impact of dosing interval on the projected antiviral activity of the combination of Abacavir and Amprenavir. Antimicrobial Agents in Chemotherapy, 44:1655-1659, 2000.

Snyder, S., D.Z. D'Argenio, O. Weislow, J.A. Bilello & G.L. Drusano. The triple combination of indivavir, zidovudine plus lamivudine is highly synergistic. Antimicrobial Agents in Chemotherapy, 44:1051-1058, 2000.

Drusano, G.L., D.Z. D'Argenio, W. Symonds, P.A. Bilello, J. McDowell, B. Sadler, A. Bye & J.A. Bilello. Nucleoside analog 1592U89 and human immunodeficiency virus protease inhibitor 141W94 are synergistic in vitro. Antimicrobial Agents & Chemotherapy, 42:2153-2159, 1998.

D'Argenio, D.Z. & K.S. Park. Pharmakokinetic/pharmacodynamic systems: Design, estimation and control. Control Engineering Practice, 5:1707- 1716, 1997.

D'Argenio, D.Z. & A. Schumitzky. ADAPT II User's Guide: Pharmacokinetic/Pharmacodynamic Systems Analysis Software. Biomedical Simulations Resource, Los Angeles, 1997.

Siebes, M., C.S. Campbell & D.Z. D'Argenio. Fluid dynamics of partially collapsible stenosis in a flow model of the coronary circulation. J. of Biomechanical Eng., 118:489-497, 1996.

D'Argenio, D.Z. (ed.). Advanced Methods of Pharmacokinetic and Pharmacodynamic Systems Analysis Vol II, Plenum Press, New York, 1995.

D'Argenio, D.Z., & J.H. Rodman. Targeting the systemic exposure of Teniposide in the population and the individual using a stochastic therapeutic objective. J. Pharmacokin. Biopharm., 21:223-251, 1993.

Kayne, L.H., D.Z. D'Argenio, et al. Analysis of segmental phosphate absorption in intact rats. J. Clin. Inv., 91:915-922, 1993.

D'Argenio, D.Z. (ed.) Advanced Methods of Pharmacokinetic and Pharmacodynamic Systems Analysis, Vol. I. Plenum Press, New York, 1991.

D'Argenio, D.Z. Incorporating prior parameter uncertainty in the design of sampling schedules for pharmacokinetic parameter estimation experiments. Math. Biosc., 99:105-118, 1990.