“Training Platform,
“Training Platform,” May 2025, doi: 10.7490/f1000research.1120171.1.
F. A. Baltoumas, E. Karatzas,
F. A. Baltoumas, E. Karatzas, N. K. Venetsianou, E. Aplakidou, K. Giatras, M. N. Chasapi, I. N. Chasapi, I. Iliopoulos, V. A. Iconomidou, I. P. Trougakos, F. Psomopoulos, A. Giannakakis, I. Georgakopoulos-Soares, P. Kontou, P. G. Bagos, and G. A. Pavlopoulos, “Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations,” Computational and Structural […]
K. B. Shiferaw, I. Balaur
K. B. Shiferaw, I. Balaur, G. Collins, C. Sharma, L. J. Castro, F. Psomopoulos, D. Garijo, R. Henkel, D. Waltemath, and A. A. Zeleke, “Calibrating CONSORT-AI with FAIR Principles to enhance reproducibility in AI-driven clinical trials,” medRxiv, 2025, doi: 10.1101/2025.07.07.25330987.
E. Aßmann, T. Greiner, H. Richard
E. Aßmann, T. Greiner, H. Richard, M. Wade, S. Agrawal, F. Amman, S. Böttcher, S. Lackner, M. Landthaler, S. Mangul, V. Munteanu, F. Psomopoulos, M. Smith, M. Trofimova, A. Ullrich, M. von Kleist, E. Wyler, M. Hölzer, and C. Irrgang, “Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance,” Nature Water, vol. 3, […]
F. Psomopoulos
F. Psomopoulos et al., “Toward a unified approach: Considerations for bioinformatic and sequencing activities & data in wastewater surveillance of biologic public health threats,” Open Research Europe, vol. 5, p. 267, Sep. 2025, doi: 10.12688/openreseurope.20934.1.
G. I. Gavriilidis, V. Vasileiou
G. I. Gavriilidis, V. Vasileiou, S. Dimitsaki, G. Karakatsoulis, A. Giannakakis, G. A. Pavlopoulos, and F. Psomopoulos, “APNet, an explainable sparse deep learning model to discover differentially active drivers of severe COVID-19,” Bioinformatics, vol. 41, no. 3, Mar. 2025, doi: 10.1093/bioinformatics/btaf063.
Tsiftsi A, Margellou A, Emmanouilidou
Tsiftsi A, Margellou A, Emmanouilidou C, Petrou N, Tsigarida N, Triantafyllidis K, Hilioti Z, 2025. Altering Tomato Seed Fatty Acid Composition via Non-Transgenic Disruption of NF-Y Transcription Factors using Zinc Finger Nucleases. Acta Horticulturae (accepted).
Koidou V, Valasiadis
Koidou V, Valasiadis D, Petrou N, Emmanouilidou C, Hilioti Z., 2025. Comparative Transcriptome Analysis in Tomato Fruit Reveals Genes, Pathways, and Processes Affected by the LEC1-LIKE4 Transcription Factor. International Journal of Molecular Sciences; 26(14):6728. https://doi.org/10.3390/ijms26146728
Petrou N, Tsigarida
Petrou N, Tsigarida N, Hilioti Z. 2025. Genome Editing of the NF-YA8 Gene Modifies Tomato Plant Architecture and Fruit Traits. Plants; 14(12):1826. https://doi.org/10.3390/plants14121826
Gerakari, M., Mitkou
Gerakari, M., Mitkou, D., Antoniadis, C., Giannakoula, A., Stefanou, S., Hilioti, Z., … & Avdikos, I. D. (2025). Evaluation of Commercial Tomato Hybrids for Climate Resilience and Low-Input Farming: Yield and Nutritional Assessment Across Cultivation Systems. Agronomy, 15(4), 929. https://doi.org/10.3390/agronomy15040929