Ector, C., Schmal, C., DIDIER, J., DE LANDTSHEER, S., Finger, A.-M., Müller-Marquardt, F., Schulte, J. H., SAUTER, T., Keilholz, U., Herzel, H., Kramer, A., & Granada, A. E. (22 August 2024). Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping. Nature Communications, 15 (1), 7205. doi:10.1038/s41467-024-51611-3 Peer Reviewed verified by ORBi |
DIDIER, J., DE LANDTSHEER, S., PIRES PACHECO, M. I., KISHK, A., SCHNEIDER, J., Demuth, I., & SAUTER, T. (26 October 2022). Improving Machine Learning-based Prediction of Frailty in Elderly People with Digital Wearables : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. European Digital Medicine Conference Luxembourg 2022, Belval, Luxembourg. |
DIDIER, J., DE LANDTSHEER, S., PIRES PACHECO, M. I., KISHK, A., SCHNEIDER, J., Demuth, I., & SAUTER, T. (09 October 2022). Machine learning-based prediction of frailty in elderly people : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. 21st International Conference on Systems Biology, Berlin, Germany. |
Bintener, T., PIRES PACHECO, M. I., KISHK, A., DIDIER, J., & SAUTER, T. (2022). Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS. In Methods in Molecular Biology (pp. 221-240). Clifton, N.J., United States: Springer. doi:10.1007/978-1-0716-2513-2_17 Peer reviewed |