Jérôme Graas

rue Nicolas-Ernest Barblé, 6
1210 Luxembourg
Luxembourg

422

Citations

Research activity per year

Biosketch

The experience acquired in clinical research for nearly 20 years allows me to understand, as a whole, the most complex research projects and to provide investigators with the operational support they need, at the interface of the clinic and of research.

Education/Academic qualification

Coordinateur de Recherche Clinique Médicale, Services et Science de la Santé, Général, ISEI Saint-Luc

2013

Infirmier Gradué, Services et Science de la Santé, Général, HELMO - Haute Ecole

1994 → 1998

External positions

Infirmier Chef FF, Gestion équipe, soins et administrative, L'Amitié MR-MRS

Jun 2005 → Jul 2009

Infirmier, Soins aux personnes dans le secteur de la psychologie médicale et de la psychiatrie, La Clairière CUP

Apr 2005 → Jun 2005

Research Nurse, Study coordinator & Responsable horaires et répartition personnel, Pfizer Clinical Research Unit, Phase 1

Apr 2000 → Mar 2005

Infirmier, Soins aux personnes âgées & accueil et assistance aux médecins, Alice au pays des merveilles MR

Sept 1998 → Apr 2000

Fingerprint

Dive into the research topics where Jérôme Graas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Data-driven clinical decision support tool for diagnosing mild cognitive impairment in Parkinson’s disease
NCER-PD Consortium, 12 Jan 2026, In: npj Parkinson's Disease. 12, 1, p. 15 15.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
Author Correction: Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease
Sapienza, S., Klucken, J., Zelimkhanov, G., Vega, C., Vaillant, M., Tsurkalenko, O., Trouet, J., Thien, H., Theresine, M., Sokolowska, K., Sharify, A., Roland, O., Richard, I., Remark, L., Rauschenberger, A., Pexaras, A., Perquin, M., Pavelka, L., Pauly, L. & Pauly, C. & 42 others, Noor, F., Nickels, S., Nehrbass, U., Munsch, M., Mtimet, S., Mittelbronn, M., Menster, M., Mendibide, A., Mediouni, C., Mcintyre, D., Marques, G., Marques, T. M., Lorentz, V., Lopes, A. F., Landoulsi, Z., Lambert, P., Krüger, R., Kofanova, O., Jónsdóttir, S., Hundt, A., Henry, M., Henry, E., Hanff, A. M., Graas, J., Giraitis, M., Georges, L., Gantenbein, M., Gamio, C., Fritz, J., Ferrari, A., De Bremaeker, N., Contesotto, G., Bouvier, D., Boussaad, I., Berchem, G., Béchet, S., Beaumont, K., Batutu, R., Alexandre, M., Aguayo, G., Acharya, G. & NCER-PD Consortium, 7 Nov 2025, In: npj Digital Medicine. 8, 1, 1 p., 645.
Research output: Contribution to journal › Correction

Open Access
Co-occurrence of memory impairment and fatigue distinguishes post COVID from pandemic-related health effects in the 4-year CON-VINCE cohort study
Bulaev, D., Rauschenberger, A., Fritz, J. V., Tsurkalenko, O., Kolodkin, A., Vaillant, M., Klucken, J., Krüger, R., Lorentz, V., Bocquet, V., Mtimet, S., Roland, O., Kofanova, O., Aouali, N., Menster, M., Alexandre, M., Valenti, M., Richard, I., Marques, G. & Contesotto, G. & 72 others, Gamio, C., Schritz, A., Mendibide, A., Saracino, S., Theresine, M., Ferrari, A., Verschueren, C., Esteves, D. V., Turner, J., Trouet, J., Thien, H., Sokolowska, K., Snoeck, C., Skrozic, A., Simon, F., Schröder, V., Schmitt, M., Sausy, A., Santos, B., Sandt, E., Remark, L., Plesseria, J. M., Pexaras, A., Perquin, M., Pavelka, L., Pauly, L., Pauly, C., Ollert, M., Neumann, M., Mériaux, S., Munsch, M., Marques, T., Marchese, M., Lumley, A., Lemaire, M., Lambert, P., Kler, S., Iserentant, G., Hübschen, J., Hundt, A., Huiart, L., Hilger, C., Henry, M., Henry, E., Hemedan, A., Hefele, L., Hansen, M., Hanff, A. M., Hamot, G., Graas, J., Georges, L., Gantenbein, M., Lopes, A. F., Ferrand, J. Y., Dording, C., Domingues, O., De Witt, B., Counson, M., Charpentier, E., Charalambous, E., Brenner, D., Betsou, F., Bellora, C., Beckers, L., Beaupain, N., Beaumont, K., Bahlawane, C., Assele-Kama, A., Ammerlaan, W., Aguayo, G., Acharya, G. & CON-VINCE/ORCHESTRA Study Consortium, 27 Oct 2025, In: Scientific Reports. 15, 1, 14 p., 37381.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
1 Citation (Scopus)
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, Hundt, A., Jónsdóttir, S., Klucken, J., Kofanova, O., Lambert, P., Landoulsi, Z., Lopes, A. F., Lorentz, V., Marques, T. M., Marques, G., Mcintyre, D., Mediouni, C., Mendibide, A., Menster, M., Mittelbronn, M., Mtimet, S., Munsch, M., Nehrbass, U., Nickels, S., Noor, F., Pauly, C., Pauly, L., Pavelka, L., Perquin, M., Pexaras, A., Rauschenberger, A., Remark, L., Richard, I., Roland, O., Sapienza, S., Sharify, A., Sokolowska, K., Theresine, M., Thien, H., Trouet, J., Tsurkalenko, O., Vaillant, M., Vega, C., Zelimkhanov, G. & the NCER-PD Consortium, Aug 2025, In: Movement Disorders. 40, 8, p. 1604-1617 14 p.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
3 Citations (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, Nickels, S., Nehrbass, U., Munsch, M., Mtimet, S., Mittelbronn, M., Menster, M., Mendibide, A., Mediouni, C., Mcintyre, D., Marques, G., Marques, T. M., Lorentz, V., Landoulsi, Z., Lambert, P., Krüger, R., Kofanova, O., Klucken, J., Jónsdóttir, S., Hundt, A., Henry, M., Henry, E., Hanff, A. M., Graas, J., Giraitis, M., Georges, L., Gantenbein, M., Gamio, C., Fritz, J., Lopes, A. F., Ferrari, A., De Bremaeker, N., Contesotto, G., Bouvier, D., Boussaad, I., Berchem, G., Béchet, S., Beaumont, K., Batutu, R., Alexandre, M., Aguayo, G., Acharya, G., NCER-PD Consortium & the ICEBERG study group, 26 Jul 2025, In: npj Digital Medicine. 8, 1, 12 p., 482.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
6 Citations (Scopus)

Jérôme Graas

Personal profile

Biosketch

Education/Academic qualification

External positions

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Data-driven clinical decision support tool for diagnosing mild cognitive impairment in Parkinson’s disease

Author Correction: Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease

Co-occurrence of memory impairment and fatigue distinguishes post COVID from pandemic-related health effects in the 4-year CON-VINCE cohort study

Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Jérôme Graas

Personal profile

Biosketch

Education/Academic qualification

External positions

Fingerprint

Collaborations and top research areas from the last five years

Research output

Data-driven clinical decision support tool for diagnosing mild cognitive impairment in Parkinson’s disease

Author Correction: Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease

Co-occurrence of memory impairment and fatigue distinguishes post COVID from pandemic-related health effects in the 4-year CON-VINCE cohort study

Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease