Projects per year
Organisation profile
Organisation profile
The Deep Digital Phenotyping Lab aims to develop key expertise and skills in the entire chain of research in digital health
The digitization of health care is transforming the way diseases and populations are characterised and monitored. It enables more personalised health care to be provided by taking into account the physiological and contextual specificities of individuals. To move towards precision health, it is necessary to develop innovative study models and approaches that encompass digital, biological, clinical and omics data. All these data would allow for more accurate characterisation of diseases and populations.
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Dive into the research topics where Deep Digital Phenotyping Research Unit is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Xpose (Maurane Rollet): Associations between exposomic phenotypes, glycemic variability and complications in people with type 1 diabetes
Fagherazzi, G. (PI) & Rollet, M. (PhD Student)
FNR - Fonds National de la Recherche
1/11/24 → 31/10/28
Project: Research
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XPOSE: Exposome and Health: Navigating Complexity with Innovation
Appenzeller, B. (PI) & Fagherazzi, G. (CoPI)
FNR - Fonds National de la Recherche
15/08/24 → 14/08/30
Project: Research
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Nextimmune-2 (Dulce Canha): Deep digital and immuno-phenotyping of people with type 1 diabetes according to their metabolic and psychological stress levels for precision prevention of diabetes-related complications.
Fagherazzi, G. (PI) & Canha, D. (PhD Student)
FNR - Fonds National de la Recherche
1/02/23 → 31/01/26
Project: Research
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Association of LEF1-AS1 with cardiovascular and neurological complications of COVID-19
Vausort, M., Lumley, A. I., Boubakeur, H., Zhang, L., Hefeng, F. Q., Ollert, M., Wilmes, P., Fagherazzi, G. & Devaux, Y., Mar 2025, In: Journal of Molecular and Cellular Cardiology Plus. 11, 8 p., 100280.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
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, 14 Jun 2025, In: Cardiovascular Diabetology. 24, 1, 12 p., 256.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
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 Access