Individualized Drug Therapy for Patients

Section I: Basic Techniques for Individualized Therapy 1. Basic Pharmacokinetics and Dynamics for Clinicians 2. Describing Drug Behavior in Groups of Patients 3. Developing Maximally Precise Dosage Regimens for Patients - Multiple Model (MM) Dosage Design 4. Optimizing Laboratory Assay Methods for Individualized Therapy 5. Evaluation of Renal Function

Section II: The Clinical Software 6. Using the BestDose Clinical Software - Examples With Aminoglycosides 7. Monitoring the Patient: Four Different Bayesian Methods to Make Individual Patient Drug Models 8. Monitoring Each Patient Optimally: When to Obtain the Best Samples for Therapeutic Drug Monitoring 9. Optimizing Individualized Drug Therapy in the ICU 10. Quantitative Modeling of Diffusion Into Endocardial Vegetations, the Postantibiotic Effect, and Bacterial Growth and Kill 11. Individualizing Digoxin Therapy

Section III: Clinical Applications of Individualized Therapy 12. Optimizing Single-Drug Antibacterial and Antifungal Therapy 13. Combination Chemotherapy With Anti-Infective Agents 14. Controlling Antiretroviral Therapy in Children and Adolescents with HIV Infection 15. Individualizing Tuberculosis Therapy 16. Individualizing Transplant Therapy 17. Individualizing Dosage Regimens of Antineoplastic Agents 18. Controlling Busulfan Therapy in Children 19. Individualizing Antiepileptic Therapy for Patients 20. Individualizing Drug Therapy in the Elderly 21. The Present and Future State of Individualized Therapy

Roger Jelliffe MD, FCP, FAAPS, an adult cardiologist, developed the first software, for individualizing digitalis dosage, in 1967. He founded the USC Laboratory of Applied Pharmacokinetics and directed it until he retired and had recruited Dr. Michael Neely, who became director in 2013. The laboratory has developed what is now the USC Pmetrics software for population modeling and the Bestdose clinical software for individualizing drug dosage regimens specifically with maximum precision, including several different Bayesian methods for managing individual patients in various clinical situations. The laboratory has contributed significantly to optimize therapy for cardiovascular, bacterial and fungal diseases, transplants, and for acutely ill and unstable patients in the ICU. Dr. Neely is an Associate Professor of Pediatrics and a Clinical Scholar at the University of Southern California (USC) in Los Angeles, CA. He is a board-certified pediatric infectious diseases physician with an active clinical practice at the Children's Hospital of Los Angeles (CHLA). His research interests are in pediatric clinical pharmacometrics, including population pharmacokinetic and pharmacodynamic modeling, pharmacogenomics, simulation, and most importantly, use of models to optimize therapy for individual patients. He is currently the Director of the Laboratory of Applied Pharmacokinetics and Bioinformatics at the CHLA Saban Research Institute. LAPKB is a multidisciplinary team of physicians, mathematicians, statisticians, engineers, and information technologists, who are leading experts in non-parametric population modeling and multiple-model Bayesian adaptive control of therapeutic drug regimens in individual patients. LAPKB maintains the freely available Pmetrics pharmacometric package for R, and the BestDose software for individualized dosing. LAPKB has numerous local, national and international collaborators.

Dr. Neely has a Master's of Science Degree in Clinical and