drs. R.J. (Roland) Veen

PhD Candidate

Faculty of Science and Engineering

Telephone:

+31 50 36 33939

+31 50 36 35042

E-mail:

r.j.veen rug.nl

ORCID Research Portal

Publications

Machine learning-based steroid metabolome analysis reveals three distinct subtypes of polycystic ovary syndrome and implicates 11-oxygenated androgens as major drivers of metabolic risk

Melson, E., Rocha, T. P., Veen, R. J., Abdi, L., Mcdonnell, T., Tandl, V., Hawley, J. M., Wittemans, L. B. L., Anthony, A. V., Gilligan, L. C., Shaheen, F., Kempegowda, P., Gillett, C. D. T., Cussen, L., Missbrenner, C., Lajeunesse-Trempe, F., Gleeson, H., Aled, R. D., Robinson, L. & Jayasena, C.& 10 others, Randeva, H. S., Dimitriadis, G. K., Gomes, L., Sitch, A. J., Vradi, E., Taylor, A. E., O'Reilly, M. W., Obermayer-Pietsch, B., Biehl, M. & Arlt, W., Feb-2023, p. OC11.2.

Research output: Contribution to conference › Abstract › Academic

Unsupervised clustering of steroid metabolome profiles in women with PCOS

Veen, R., Melson, E., Rocha, T. P., Abdi, L., Mcdonnell, T., Tandl, V., Hawley, J. M., Wittemans, L. B. L., Anthony, A. V., Gilligan, L. C., Shaheen, F., Kempegowda, P., Gillet, C. D. T., Cussen, L., Missbrenner, C., Lajeunesse-Trempe, F., Gleeson, H., Rees, D. A., Robinson, L. & Jayasena, C.& 10 others, Randeva, H. S., Dimitriadis, G. K., Gomes, L. G., Sitch, A. J., Vradi, E., Obermayer-Pietsch, B., O’Reilly, M. W., Taylor, A. E., Biehl, M. & Arlt, W., 23-Oct-2023, p. 21-21. 1 p.

Research output: Contribution to conference › Abstract › Academic

Unsupervised steroid metabolome cluster analysis to dissect androgen excess and metabolic dysfunction in 488 women with polycystic ovary syndrome – results from the prospective DAISy-PCOS study

Biehl, M. & Veen, R., 2023.

Research output: Contribution to conference › Abstract › Academic

All (3) publications

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