Work

Personalized in vitro cancer models to predict therapeutic response: Challenges and a framework for improvement

Year: 2016

Type: article

Source: Pharmacology & Therapeutics

DOI: 10.1016/j.pharmthera.2016.05.007

Authors: Molly M. Morgan, Brian P. Johnson, Megan K. Livingston, Linda A. Schuler, Elaine T. Alarid, Kyung E. Sung, David J. Beebe

Institution: University of Wisconsin–Madison

Language: English

Topic: 3D Printing in Biomedical Research

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Prostate Cancer Foundation, University of Wisconsin Carbone Cancer Center, National Cancer Institute, National Institute of Environmental Health Sciences

Awards: G3177983899, G4004214011, G42679306, G4880580056, G7004989808, Molecular & Environmental Toxicology Predoctoral Training Program

OpenAlex ID: W2394716637

FWCI: 4.413

Cites: 242

Cited by: 75

Related to: 10