Search Results - Lachmann, Mark
- Showing 1 - 5 results of 5
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Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells by Kusumoto, Dai, Lachmann, Mark, Kunihiro, Takeshi, Yuasa, Shinsuke, Kishino, Yoshikazu, Kimura, Mai, Katsuki, Toshiomi, Itoh, Shogo, Seki, Tomohisa, Fukuda, Keiichi
Published 2018Text -
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Medical Assistance in Dying (MAiD) for Persons Whose Sole Underlying Medical Condition is a Mental Disorder: Challenges and Considerations by Freeland, Alison, Godkin, Dianne, Dembo, Justine, Chan, Peter, Knoops, Francine, Lachmann, Mark, Morissette, Louis, Smith, Derryck H., Stewart, Donna E., Trew, Michael, Wong, Melanie R., Charbonneau, Manon
Published 2021Text -
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Emerin plays a crucial role in nuclear invagination and in the nuclear calcium transient by Shimojima, Masaya, Yuasa, Shinsuke, Motoda, Chikaaki, Yozu, Gakuto, Nagai, Toshihiro, Ito, Shogo, Lachmann, Mark, Kashimura, Shin, Takei, Makoto, Kusumoto, Dai, Kunitomi, Akira, Hayashiji, Nozomi, Seki, Tomohisa, Tohyama, Shugo, Hashimoto, Hisayuki, Kodaira, Masaki, Egashira, Toru, Hayashi, Kenshi, Nakanishi, Chiaki, Sakata, Kenji, Yamagishi, Masakazu, Fukuda, Keiichi
Published 2017Text -
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Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery Disease by Neiburga, Katrīna D., Vilne, Baiba, Bauer, Sabine, Bongiovanni, Dario, Ziegler, Tilman, Lachmann, Mark, Wengert, Simon, Hawe, Johann S., Güldener, Ulrich, Westerlund, Annie M., Li, Ling, Pang, Shichao, Yang, Chuhua, Saar, Kathrin, Huebner, Norbert, Maegdefessel, Lars, DigiMed Bayern Consortium, Lange, Rüdiger, Krane, Markus, Schunkert, Heribert, von Scheidt, Moritz
Published 2021Text