Growth‐rate model predicts in vivo tumor response from in vitro data
Abstract A major challenge in oncology drug development is to elucidate why drugs that show promising results in cancer cell lines in vitro fail in mouse studies or human trials. One of the fundamental steps toward solving this problem is to better predict how in vitro potency translates into in viv...
Saved in:
Main Authors: | Rocky Diegmiller (Author), Laurent Salphati (Author), Bruno Alicke (Author), Timothy R. Wilson (Author), Thomas J. Stout (Author), Marc Hafner (Author) |
---|---|
Format: | Book |
Published: |
Wiley,
2022-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Differentiation-inducing factor-3 inhibits intestinal tumor growth in vitro and in vivo
by: Naoya Kubokura, et al.
Published: (2015) -
Prediction of in vivo intestinal hydrolysis and absorption of prodrug from in vitro data
by: Keiichirou Tanaka, et al.
Published: (2012) -
Prediction of in vivo prenatal chlorpyrifos exposure leading to developmental neurotoxicity in humans based on in vitro toxicity data by quantitative in vitro-in vivo extrapolation
by: Engi Abdelhady Algharably, et al.
Published: (2023) -
VRK1 Predicts Poor Prognosis and Promotes Bladder Cancer Growth and Metastasis In Vitro and In Vivo
by: Jiacheng Wu, et al.
Published: (2022) -
Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer
by: Mehdi Bouhaddou, et al.
Published: (2020)