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Titel:

Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Dokumenttyp:
Journal Article
Autor(en):
Pan, Chenchen; Schoppe, Oliver; Parra-Damas, Arnaldo; Cai, Ruiyao; Todorov, Mihail Ivilinov; Gondi, Gabor; von Neubeck, Bettina; Böğürcü-Seidel, Nuray; Seidel, Sascha; Sleiman, Katia; Veltkamp, Christian; Förstera, Benjamin; Mai, Hongcheng; Rong, Zhouyi; Trompak, Omelyan; Ghasemigharagoz, Alireza; Reimer, Madita Alice; Cuesta, Angel M; Coronel, Javier; Jeremias, Irmela; Saur, Dieter; Acker-Palmer, Amparo; Acker, Till; Garvalov, Boyan K; Menze, Bjoern; Zeidler, Reinhard; Ertürk, Ali
Abstract:
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipeline for automated quantification of cancer metastases and therapeutic antibody targeting, named DeepMACT. First, we enhanced the fluorescent signal of cancer cells more than 100-fold by applying the vDISCO method to image metastasis in transparent mice...     »
Zeitschriftentitel:
Cell
Jahr:
2019
Band / Volume:
179
Heft / Issue:
7
Seitenangaben Beitrag:
1661-1676.e19
Volltext / DOI:
doi:10.1016/j.cell.2019.11.013
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/31835038
Print-ISSN:
0092-8674
TUM Einrichtung:
Lehrstuhl für Experimentelle Tumortherapie (Prof. Saur)
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