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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Collaborations and top research areas from the last five years
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Profiles
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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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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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A Functionally-Grounded Benchmark Framework for XAI Methods: Insights and Foundations from a Systematic Literature Review
Canha, D., Kubler, S., Främling, K. & Fagherazzi, G., 14 Jul 2025, In: ACM Computing Surveys. 57, 12, 40 p., ART320.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
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, Dec 2025, In: Cardiovascular Diabetology. 24, 1, 12 p., 256.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus)