Publications
| Google Scholar | ORCID 0000-0002-0151-6397 |
Last updated: 2026-04-27
| 303 Citations | 9 h-index | 23 Publications | 1 Patent |
Highlighted Publications
This is a curated selection of key papers. The full list is available on Google Scholar and ORCID.
2026
Aubourg, T. et al. Identifying and predicting fast vs slow motor progressors in Parkinson’s disease using clinical and digital data. BMJ Neurology Open (2026). (under review)
2025
Gunter, K., Aubourg, T. et al. Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson’s disease. npj Digital Medicine (2025).
2023
Gardes, J., Maldivi, C., Boisset, D., Aubourg, T. & Demongeot, J. An Unsupervised classifier for whole-genome phylogenies, the Maxwell. International Journal of Molecular Sciences 24, 16278 (2023).
2022
Aubourg, T., Provost, H. & Vuillerme, N. Method for estimating consistency of circadian rhythms from telephone call records. (Patent, 2022)
Demongeot, J., Aubourg, T. & Carminati, G. G. Paradoxical tensions and the variational principle. Revue CONFLUENCE: Sciences & Humanités 2, 35–51 (2022).
Knitza, J. et al. Accuracy and tolerability of self-sampling of capillary blood for analysis of inflammation and autoantibodies in rheumatoid arthritis patients. Arthritis Research & Therapy 24, 125 (2022).
Gerner, M. et al. Review and analysis of German mobile apps for inflammatory bowel disease management using the mobile application rating scale. JMIR mHealth and uHealth 10, e31102 (2022).
2021
Aubourg, T., Demongeot, J. & Vuillerme, N. Gaining insights into the estimation of the circadian rhythms of social activity in older adults from their telephone call activity with statistical learning. Journal of Medical Internet Research 23, e22339 (2021).
Carlin, T., Soulard, J., Aubourg, T., Knitza, J. & Vuillerme, N. Objective measurements of physical activity and sedentary behavior using wearable devices in patients with axial spondyloarthritis: protocol for a systematic review. JMIR Research Protocols 10, e23359 (2021).
Guediri, A. et al. Comparison of energy expenditure assessed using wrist- and hip-worn ActiGraph GT3X in free-living conditions in young and older adults. Frontiers in Medicine 8, 696968 (2021).
Lambrecht, A. et al. Quality of a supporting mobile app for rheumatic patients: patient-based assessment using the user version of the mobile application scale (uMARS). Frontiers in Medicine 8, 715345 (2021).
2020
Aubourg, T., Demongeot, J. & Vuillerme, N. Novel statistical approach for assessing the persistence of the circadian rhythms of social activity from telephone call detail records in older adults. Scientific Reports 10, 21464 (2020).
Aubourg, T., Demongeot, J., Provost, H. & Vuillerme, N. Circadian rhythms in the telephone calls of older adults: observational descriptive study. JMIR mHealth and uHealth 8, e12452 (2020).
Aubourg, T., Demongeot, J., Provost, H. & Vuillerme, N. Exploitation of outgoing and incoming telephone calls in the context of circadian rhythms of social activity among elderly people. JMIR mHealth and uHealth 8, e13535 (2020).
Aubourg, T. De l’intérêt de l’analyse des comptes rendus d’appels téléphoniques pour mieux suivre l’état de santé de la personne âgée. (PhD Thesis, Université Grenoble-Alpes, 2020).
2019
Aubourg, T., Demongeot, J., Renard, F., Provost, H. & Vuillerme, N. How to Measure Circadian Rhythms of Activity and Their Disruptions in Humans Using Passive and Unobtrusive Capture of Phone Call Activity. MedInfo 1631–1632 (2019).
Aubourg, T., Demongeot, J., Renard, F., Provost, H. & Vuillerme, N. Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis. Scientific Reports 9, 13524 (2019).
Mandigout, S. et al. Comparison of step count assessed using wrist- and hip-worn Actigraph GT3X in free-living conditions in young and older adults. Frontiers in Medicine 6, 252 (2019).