3D Anti-Cancer drug discovery models: A promising approach for precision medicine

dc.contributor.authorJacobi, Nico
dc.contributor.authorSmolinska, Veronika
dc.contributor.authorSeeböck, Rita
dc.contributor.authorStierschneider, Anna
dc.contributor.authorKlein, Christian
dc.contributor.authorHofmann, Elisabeth
dc.contributor.authorWiesner, Christoph
dc.contributor.authorMohr, Thomas
dc.contributor.authorÖnder, Kamil
dc.contributor.authorLechner, Peter
dc.contributor.authorKaiser, Hubert
dc.contributor.authorHundsberger, Harald
dc.contributor.authorEger, Andreas
dc.date.accessioned2017-04-11T16:28:20Z
dc.date.available2017-04-11T16:28:20Z
dc.date.issued2017-04
dc.identifier.otherFFH2017-104-8
dc.identifier.urihttp://ffhoarep.fh-ooe.at/handle/123456789/916
dc.subjectCancer Drug Discovery
dc.subject3D models
dc.subjectspheroids
dc.subjecttumor tissue slices
dc.subjectEGFR
dc.subjectOncogene Addiction
dc.title3D Anti-Cancer drug discovery models: A promising approach for precision medicine

Files

Original bundle

Now showing 1 - 1 of 1
Name:
Panel_104_ID_237.pdf
Size:
153.45 KB
Format:
Adobe Portable Document Format