A modeling & simulation approach to develop the personalized doing system of neuropsychiatric drug therapy
Description: In this study, we conducted the clinical research to develop the personalized dosing system of neuropsychiatric drugs. Briefly, we determined the extent of influence of several genotypes on the pharmacokinetics and pharmacodynamics (including weight gain as an adverse reactions) of antidepressant: paroxetine, mood stabilizers: valproic acid and carbamazepine, antipsychotics: risperidone and olanzapine, and we proposed the novel dosing regimen for these drugs based on the patient information using the nonlinear mixed effect model.
Amount: ¥4,810,000
Funding type: research
Funder scheme: Grant-in-Aid for Scientific Research (C)
Start date: 2016-04-01
End date: 2019-03-31
Investigator: Junji SARUWATARI
Institution: Kumamoto University
Funded outputs count: 9
Funder award ID: 16K08406
OpenAlex ID: G3156732882
