TY - BOOK ID - 698414 TI - Applied Pharmacometrics AU - Schmidt, Stephan. AU - Derendorf, Hartmut. PY - 2014 SN - 1493913042 1493913034 PB - New York, NY : Springer New York : Imprint: Springer, DB - UniCat KW - Pharmacology. KW - Pharmacokinetics. KW - Drug kinetics KW - Drugs KW - Kinetics, Drugs KW - Chemical kinetics KW - Pharmacology KW - Drug effects KW - Medical pharmacology KW - Medical sciences KW - Chemicals KW - Chemotherapy KW - Pharmacy KW - Kinetics KW - Pharmacokinetics KW - Metabolism KW - Physiological effect KW - Pharmaceutical technology. KW - Pharmaceutical Sciences/Technology. KW - Pharmaceutical laboratory techniques KW - Pharmaceutical laboratory technology KW - Technology, Pharmaceutical KW - Technology UR - https://www.unicat.be/uniCat?func=search&query=sysid:698414 AB - This comprehensive volume provides an update on the current state of pharmacometrics in drug development. It consists of nineteen chapters all written by leading scientists from the pharmaceutical industry, regulatory agencies and academia. After an introduction of the basic pharmacokinetic and pharmacodynamic concepts of pharmacometrics in drug development, the book presents numerous examples of specific applications that utilize pharmacometrics with modeling and simulations over a variety of therapeutic areas, including pediatrics, diabetes, obesity, infections, psychiatrics, Alzheimer’s disease, and dermatology, among others. The examples illustrate how results from all phases of drug development can be integrated in a more timely and cost-effective process. Applying pharmacometric decision tools during drug development can allow objective, data-based decision making. At the same time, the process can identify redundant or unnecessary experiments as well as some costly clinical trials that can be avoided. In addition to cost saving by expedited development of successful drug candidates, pharmacometrics has an important economic impact in drug product selection. Unsuccessful drug candidates can be identified early and discontinued without expending efforts required for additional studies and allocating limited resources. Hence, pharmacometric modeling and simulation has become a powerful tool to bring new and better medications to the patient at a faster pace and with greater probability of success. ER -