Projects per year
Personal profile
External positions
PhD Student, Université de Lorraine
15 Oct 2021 → 14 Oct 2024
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Dive into the research topics where Aurélie Fischer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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VOBIOCOV: Development of a digital health solution based on vocal biomarkers to remotely monitor frequent symptoms in real-life in people with Covid-19 or Long Covid.
Fagherazzi, G. (PI) & Fischer, A. (PhD Student)
1/10/21 → 30/09/24
Project: Research
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Readiness of adults with type 1 diabetes and diabetes caregivers for diabetes distress monitoring using a voice-based digital health solution: insights from the PsyVoice mixed methods study
Aguirre Vergara, F., Pinker, I., Fischer, A., Seuring, T., Tichomirowa, M. A., de Beaufort, C., Kamp, S.-M., Fagherazzi, G. & Aguayo, G. A., 2 Jan 2025, In: BMJ Open. 15, 1, 12 p., e088424.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A Voice-Based AI Algorithm Can Predict Type 2 Diabetes Status-Findings from the Colive Voice Study on US Adult Participants
Elbeji, A., Pizzimenti, M., Aguayo, G. A., Fischer, A., Ayadi, H., Mauvais-Jarvis, F., Riveline, J.-P., Despotovic, V. & Fagherazzi, G., 14 Jun 2024, In: Diabetes. 73, supplement_1, 2 p.Research output: Contribution to journal › Meeting Abstract › peer-review
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A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study
Elbéji, A., Pizzimenti, M., Aguayo, G., Fischer, A., Ayadi, H., Mauvais-Jarvis, F., Riveline, J. P., Despotovic, V. & Fagherazzi, G., 19 Dec 2024, In: PLOS digital health. 3, 12, 14 p., e0000679.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Can we screen for type 2 diabetes using voice? Findings from the Colive Voice study
Fagherazzi, G., Despotovic, V., Pizzimenti, M., Aguayo, G., Fischer, A., Ayadi, H., Mauvais-Jarvis, F., Riveline, J.-P. & Elbeji, A., Sept 2024, In: Diabetologia. 67, p. S185-S186 2 p., 365.Research output: Contribution to journal › Meeting Abstract › peer-review
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Co-design of a voice-based app to monitor long COVID symptoms with its end-users: A mixed-method study
Fischer, A., Aguayo, G., Pinker, I., Oustric, P., Lachaise, T., Wilmes, P., Larché, J., Benoy, C. & Fagherazzi, G., 9 Sept 2024, In: Digital Health. 10, 20552076241272671.Research output: Contribution to journal › Article › Research › peer-review
Open Access