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DIDIER Jeff

ORCID
0009-0002-4825-423X
Main Referenced Co-authors
SAUTER, Thomas  (8)
DE LANDTSHEER, Sébastien  (5)
KISHK, Ali  (5)
Demuth, Ilja (3)
Ector, Carolin (3)
Main Referenced Keywords
Humans (4); frailty (3); aging (2); Antineoplastic Agents/pharmacology (2); biomarker (2);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (2)
Main Referenced Disciplines
Life sciences: Multidisciplinary, general & others (5)
Geriatrics (3)
Oncology (1)

Publications (total 9)

The most downloaded
125 downloads
DIDIER, J., Landtsheer, S. D., Pacheco, M. P., KISHK, A., SCHNEIDER, J., Goldeck, D., Pawelec, G., Spira, D., Demuth, I., & SAUTER, T. (24 September 2025). Clinical Data-Driven Classification of Pre-Frailty Reveals Sex-Specific Patterns - Data from the Berlin Aging Study II (BASE-II). Mechanisms of Ageing and Development, 228, 112114. doi:10.1016/j.mad.2025.112114 https://hdl.handle.net/10993/65916

The most cited

20 citations (OpenAlex)

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 https://hdl.handle.net/10993/61871

Ector, C., Schmal, C., DIDIER, J., De Landtsheer, S., Schulte, J. H., Keilholz, U., SAUTER, T., Kramer, A., Herzel, H., & Granada, A. E. (11 February 2026). Circadian rhythm heterogeneity modulates drug response variations in neuroblastoma models. Cell Reports, 45 (2), 116975. doi:10.1016/j.celrep.2026.116975
Peer Reviewed verified by ORBi

DIDIER, J. (2025). Machine learning-based Identification of Biomarkers in Clinical Cohort and Cancer Cell Line Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/67777

DIDIER, J., Landtsheer, S. D., Pacheco, M. P., KISHK, A., SCHNEIDER, J., Goldeck, D., Pawelec, G., Spira, D., Demuth, I., & SAUTER, T. (24 September 2025). Clinical Data-Driven Classification of Pre-Frailty Reveals Sex-Specific Patterns - Data from the Berlin Aging Study II (BASE-II). Mechanisms of Ageing and Development, 228, 112114. doi:10.1016/j.mad.2025.112114
Peer Reviewed verified by ORBi

DIDIER, J., CROCE, S., BAYOUMI, S., VALCESCHINI, E., ESCOFFIER, H., GONZALEZ, E., KISHK, A., BADKAS, A., DE LANDTSHEER, S., & SAUTER, T. (01 June 2025). Challenges and opportunities in systems biology education. Endocrine-Related Cancer, 32 (6). doi:10.1530/ERC-25-0024
Peer Reviewed verified by ORBi

Ector, C., DIDIER, J., DE LANDTSHEER, S., Nordentoft, M. S., Schmal, C., Keilholz, U., Herzel, H., Kramer, A., SAUTER, T., & Granada, A. E. (April 2025). Circadian clock features define novel subtypes among breast cancer cells and shape drug sensitivity. Molecular Systems Biology, 21 (4), 315 - 340. doi:10.1038/s44320-025-00092-7
Peer Reviewed verified by ORBi

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

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