SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:research.chalmers.se:ebee6e62-1b1c-4fb3-8cbc-8050aa140326"
 

Search: id:"swepub:oai:research.chalmers.se:ebee6e62-1b1c-4fb3-8cbc-8050aa140326" > Pharmacometrics for...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Pharmacometrics for Combination Therapy in Oncology Within and Across Species Variability in Time Series and Time-to-event Data

Baaz, Marcus, 1993 (author)
Chalmers tekniska högskola,Chalmers University of Technology
 (creator_code:org_t)
ISBN 9789181030204
Gothenburg, 2024
English.
  • Doctoral thesis (other academic/artistic)
Abstract Subject headings
Close  
  • Mathematical modeling is an integral part of the drug development process. Models are developed to describe tumor dynamics or drug concentration to answer questions such as: What concentration is required to reach the desirable treatment outcome? What drug dose and frequency should a drug prescription specify to achieve this concentration? Models are also used for simulation, reducing the need to perform additional animal trials. In this thesis, we consider how to model dynamical systems that incorporate biologically relevant phenomena such as drug elimination, tumor growth, and the effect of combination therapies consisting of anticancer drugs and radiation treatment. Survival analysis and time-to-event modeling are also discussed as well as how to combine these types of probabilistic models with the dynamical system models in a so-called joint model. All discussed models contain parameters that must be estimated using experimental data and how this estimation is done is considered along with how to deal with variability on different levels, e.g., between individuals and between species. Furthermore, appended are five papers/manuscripts where this is applied to real-world problems. (I) concerns modeling of radiation therapy in combination with radiosensitizers, (II) presents a translational approach for predicting clinical results using a preclinical model, and (III) focuses on predicting progression-free survival using joint modeling. The last two are in manuscript form and (IV) presents a parametric model for sample size calculations and (V) considers how predictions of progression-free survival are distributed under different models.

Subject headings

NATURVETENSKAP  -- Matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

Mathematical Modeling
Pharmacometrics
Nonlinear Mixed Effects
Oncology
Combination Therapy
Radiation Therapy

Publication and Content Type

dok (subject category)
vet (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Baaz, Marcus, 19 ...
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Pharmaceutical S ...
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Cancer and Oncol ...
By the university
Chalmers University of Technology

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view