This course will provide a learning experience that parallels and simulates the process, protocols, methods and evaluation tools used for later-stage in vivo drug development. Modules will build on the student’s fundamental knowledge and simulate the thought processes and techniques used during drug development in research institutes, clinical research organizations and pharmaceutical and biotechnology companies worldwide. Modules will include pharmacokinetic and pharmacogenetic screening approaches in model systems and humans, and students will participate in Randomized Controlled Trial (RCT) studies. Students will also gain insight into current large-data computational research approaches in the pharmaceutical industry, broaching topics such as data science and bioinformatics. This experience will allow students to leverage their learned skills and knowledge to improve their comprehension and employability in this area, while honing critical thinking and analytical skills. (Approximate )
This course will provide a learning experience that parallels and simulates the process, protocols, methods and evaluation tools used for later-stage in vivo drug development. Modules will build on the student’s fundamental knowledge and simulate the thought processes and techniques used during drug development in research institutes, clinical research organizations and pharmaceutical and biotechnology companies worldwide. Modules will include pharmacokinetic and pharmacogenetic screening approaches in model systems and humans, and students will participate in Randomized Controlled Trial (RCT) studies. Students will also gain insight into current large-data computational research approaches in the pharmaceutical industry, broaching topics such as data science and bioinformatics. This experience will allow students to leverage their learned skills and knowledge to improve their comprehension and employability in this area, while honing critical thinking and analytical skills. (Approximate )
