Projects per year
Personal profile
External positions
PhD student, University of Liege
1 Jan 2015 → 1 May 2018
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Collaborations and top research areas from the last five years
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IMPHEENITY: Immuno-Phenotyping for Better Cardiovascular Risk Prediction In People With Type 1 Diabetes
Fagherazzi, G. (PI), Pizzimenti, M. (Project Manager), Aguayo, G. (Partner) & Bour, C. (Partner)
1/09/25 → 31/08/28
Project: Research
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CON-VINCE: COvid-19 National survey for assessing Viral spread by Non-affected Carriers
Krüger, R. (PI), Satagopam, V. P. (PI), Huiart, L. (CoPI), Ollert, M. (Partner), Berchem, G. (Partner), Betsou, F. (Partner), Brenner, D. (Partner), Gantenbein, M. (Partner), Vaillant, M. (Partner), Turner, J. (Partner), Aguayo, G. (Partner), Vaillant, M. (Partner), Bahlawane, C. (Partner), Roomp, K. (Partner), Hübschen, J. (Partner) & Snoeck, C. (Partner)
FNR - Fonds National de la Recherche
1/04/20 → 31/12/21
Project: Research
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EDEG2019: 54rd European Diabetes Epidemiology Group Annual Meeting
Aguayo, G. (PI)
FNR - Fonds National de la Recherche
15/11/18 → 13/05/19
Project: Other
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GEODIS: Geographic variations and disease mapping of major chronic conditions in Chile: hypertension, diabetes, and obesity
Aguayo, G. (PI)
1/01/18 → 31/12/18
Project: Research
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QUEST: Quality of sleep in children with diabetes using new technology
Aguayo, G. (PI)
16/02/17 → 15/02/18
Project: Research
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Beyond overweight, visceral adiposity is associated with estimation of cardiovascular risk in patients living with type 1 diabetes: findings from the SFDT1 cohort
Salle, L., Julla, J. B., Fagherazzi, G., Gourdy, P., Bezerra Parente, E., Hanaire, H., Tatulashvili, S., Disse, E., Franc, S., Hadjadj, S., Larger, E., Sanz, C., Vaduva, P., Valero, R., Bonnefond, A., Cosson, E., Aguayo, G. A., Riveline, J. P. & SFDT1 group, Dec 2025, In: Cardiovascular Diabetology. 24, 1, 12 p., 256.Research output: Contribution to journal › Article › Research › peer-review
Open Access2 Citations (Scopus) -
Clinical phenotyping of people living with type 1 diabetes according to their levels of diabetes-related distress: Results from the SFDT1 cohort
Canha, D., Aguayo, G., Cosson, E., Vaduva, P., Renard, E., Alzaid, F., Bonnet, F., Hadjadj, S., Potier, L., Vergès, B., Lablanche, S., Benhamou, P. Y., Hanaire, H., Reznik, Y., Riveline, J. P. & Fagherazzi, G., 24 Feb 2025, In: BMJ Open Diabetes Research and Care. 13, 1, 11 p., e004524.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Correction to: Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE)
CON-VINCE consortium and the ORCHESTRA working group, 3 Jul 2025, In: BMC Infectious Diseases. 25, 1, 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease
Krüger, R., Acharya, G., Aguayo, G., Alexandre, M., Batutu, R., Beaumont, K., Béchet, S., Berchem, G., Boussaad, I., Contesotto, G., Ferrari, A., Fritz, J., Gamio, C., Gantenbein, M., Georges, L., Giraitis, M., Graas, J., Hanff, A. M., Henry, E. & Henry, M. & 40 others, , Aug 2025, In: Movement Disorders. 40, 8, p. 1604-1617 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease
Pavelka, L., Zelimkhanov, G., Vega, C., Vaillant, M., Tsurkalenko, O., Trouet, J., Thien, H., Theresine, M., Sokolowska, K., Sharify, A., Sapienza, S., Roland, O., Richard, I., Remark, L., Rauschenberger, A., Pexaras, A., Perquin, M., Pauly, L., Pauly, C. & Noor, F. & 43 others, , 26 Jul 2025, In: npj Digital Medicine. 8, 1, 12 p., 482.Research output: Contribution to journal › Article › Research › peer-review
Open Access