UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Sub Biology AI Technology For Life is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Publication network from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Sanne Abeln
- Faculty of Science, Sub AI Technology for Life - Professor
- Faculty of Science, Sub Biology AI Technology For Life - Professor
Person: Professor
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Sietske van Bentum
- Faculty of Science, Sub Biology AI Technology For Life - Researcher
Person: Researcher
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Ronnie de Jonge
- Faculty of Science, Sub Biology AI Technology For Life - Associate Professor
- Faculty of Science, Sub AI Technology for Life - Associate Professor
Person: Associate Professor
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Wilson dos Santos Silva
- Faculty of Science, Sub AI Technology for Life - Assistant Professor
- Faculty of Science, Sub Biology AI Technology For Life - Assistant Professor
Person: Assistant Professor
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Beyond olfaction: New insights into human odorant binding proteins
Chen, M., Lakbir, S., Jeon, M., Mazur, V., Abeln, S. & Mouhib, H., Feb 2026, In: Protein Science. 35, 2, e70451.Research output: Contribution to journal › Review article › peer-review
Open AccessFile -
Cancer-associated fibroblast signature and SMAD4 mutation in resistance to adjuvant chemotherapy in stage III colon cancer patients
PLCRC-MEDOCC group, 5 Feb 2026, (E-pub ahead of print) In: European Journal of Cancer. 236, p. 116262 116262.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Distinct cerebrospinal fluid proteomic signatures define clinicopathological subtypes of sporadic Creutzfeldt-Jakob disease and predict patient survival
Bentivenga, G. M., Mammana, A., Gogishvili, D., Baiardi, S., Vittoriosi, E., Mastrangelo, A., Ranieri, A., Houtkamp, I. M., Brockmann, K., Abeln, S., Capellari, S. & Parchi, P., 8 Jan 2026, In: Acta neuropathologica communications. 14, 1, 18 p., 14.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy
Rouwendaal, G. N. L., Boeke, D., Cox, I. L., van der Poel, H. G., van Dijk-de Haan, M. C., Beets-Tan, R. G. H., Boellaard, T. N. & Silva, W., 2026, Predictive Intelligence in Medicine - 8th International Workshop, PRIME 2025, Held in Conjunction with MICCAI 2025, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Cintas, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 151-162 12 p. (Lecture Notes in Computer Science; vol. 16164 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Pangenome graph analysis reveals evolution of resistance breaking in spinach downy mildew
Skiadas, P., Mendel, M. N., Elberse, J., Van den Ackerveken, G., de Jonge, R. & Seidl, M. F., 20 Jan 2026, In: PLoS Biology. 24, 1, 27 p., e3003596.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile