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Prediction of human efficacy of new anti-tuberculosis drug candidate

Terrmin

HT23

Beskrivning

Background: Tuberculosis (TB) is a communicable disease that is a major cause of ill health and one of the leading causes of death worldwide. TB is caused by the Mycobacterium tuberculosis, which is spread when people who are sick with TB expel bacteria into the air. Many efforts have been done to improve the current treatment including the development of novel drugs and regimens.
Aim: To predict the human efficacy of new anti-tuberculosis drug candidate
Methods: The student will work on the application of pharmacometrics modelling in tuberculosis field. This project will consist of two major parts. First, characterization of the exposure-response relationship of new drug candidate on the specific biomarker using nonlinear mixed effect model. Second, the model from the first part will be use to predict the human efficacy of the new drug candidate in Phase 2a trial. The result from this project will help to design the future clinical trial of the new drug candidate. During the project, the student is also expected to perform literature research to support model development. The model development will be performed in NONMEM. Model diagnostics will be performed in PsN and R. Therefore, previous knowledge and experience in modelling software such as NONMEM and R are desirable.

Huvudområde

Farmaceutisk vetenskap

Ämne

Farmakometri

Typ

Beräkningsstudie

Företag

Uppsala University

Ort/Plats

Uppsala

Handledarens namn

Budi Susanto och Ulrika Simonsson

Handledarens e-post

budi.octasari@farmbio.uu.se

Institution

Institutionen för farmaceutisk biovetenskap

Program

Masterprogram i läkemedelsmodellering

Kurs

Degree Project in Pharmaceutical Modeling within Pharmacometrics 45 c - 3FB029

Omfattning/hp

45hp