@misc{wolfien_hematopoietic_stemcell_2020, 
author={Wolfien, M., Klatt, D., Salybekov, A.A., Ii, M., Komatsu-Horii, M., Gaebel, R., Philippou-Massier, J., Schrinner, E., Akimaru, H., Akimaru, E., David, R., Garbade, J., Gummert, J., Haverich, A., Hennig, H., Iwasaki, H., Kaminski, A., Kawamoto, A., Klopsch, C., Kowallick, J.T., Krebs, S., Nesteruk, J., Reichenspurner, H., Ritter, C., Stamm, C., Tani-Yokoyama, A., Blum, H., Wolkenhauer, O., Schambach, A., Asahara, T., Steinhoff, G.},
title={Hematopoietic stem-cell senescence and myocardial repair - Coronary artery disease genotype/phenotype analysis of post-MI myocardial regeneration response induced by CABG/CD133+ bone marrow hematopoietic stem cell treatment in RCT PERFECT Phase 3},
year={2020},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.ebiom.2020.102862},
abstract = {Myocardial repair is affected by HSC gene response and somatic mutation. Machine Learning can be utilized to identify and predict pathological HSC response.},
note = {Online available at: \url{https://doi.org/10.1016/j.ebiom.2020.102862} (DOI). Wolfien, M.; Klatt, D.; Salybekov, A.; Ii, M.; Komatsu-Horii, M.; Gaebel, R.; Philippou-Massier, J.; Schrinner, E.; Akimaru, H.; Akimaru, E.; David, R.; Garbade, J.; Gummert, J.; Haverich, A.; Hennig, H.; Iwasaki, H.; Kaminski, A.; Kawamoto, A.; Klopsch, C.; Kowallick, J.; Krebs, S.; Nesteruk, J.; Reichenspurner, H.; Ritter, C.; Stamm, C.; Tani-Yokoyama, A.; Blum, H.; Wolkenhauer, O.; Schambach, A.; Asahara, T.; Steinhoff, G.: Hematopoietic stem-cell senescence and myocardial repair - Coronary artery disease genotype/phenotype analysis of post-MI myocardial regeneration response induced by CABG/CD133+ bone marrow hematopoietic stem cell treatment in RCT PERFECT Phase 3. EBioMedicine. 2020. vol. 57, 102862. DOI: 10.1016/j.ebiom.2020.102862}}