Predicting clinical response to anticancer drugs using 3D-bioprinted tumor models for personalized therapy

Project Information

3DCanPredict

Grant agreement ID: 862580

DOI

10.3030/862580

Project closed

EC signature date 26 August 2019

Start date 1 September 2019

End date 30 November 2021

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

No data

EU contribution

€ 150 000,00

Coordinated by

TEL AVIV UNIVERSITY
Israel

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Microengineered perfusable 3D-bioprinted glioblastoma model for in vivo mimicry of tumor microenvironment

Author(s): Lena Neufeld, Eilam Yeini, Noa Reisman, Yael Shtilerman, Dikla Ben-Shushan, Sabina Pozzi, Asaf Madi, Galia Tiram, Anat Eldar-Boock, Shiran Ferber, Rachel Grossman, Zvi Ram, Ronit Satchi-Fainaro
Published in: Science Advances, 2021, ISSN 2375-2548
Publisher: AAAS
DOI: 10.1126/sciadv.abi9119

P-selectin axis plays a key role in microgliaimmunophenotype and glioblastoma progression

Author(s): Eilam Yeini, Paula Ofek, Sabina Pozzi, Nitzan Albeck, Dikla Ben-Shushan, Galia Tiram, Sapir Golan, Ron Kleiner, Ron Sheinin, Sahar Israeli Dangoor , Shlomit Reich-Zeliger, Rachel Grossman, Zvi Ram, Henry Brem , Thomas M. Hyde, Prerna Magod, Dinorah Friedmann-Morvinski, Asaf Madi & Ronit Satchi-Fainaro
Published in: Nature Communications, 2021, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-021-22186-0