Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine

Noémi Bontridder; Tom Hähnel; Mayca  Marín Valero; Laura Carrasco Marín; Jean-Christophe Corvol; Mounîm A. El-Yacoubi; Bjoern  Eskofier; Anas Filali Razzouki; Anne Funck Hansen; Enrico Glaab; Alzhraa A.  Ibrahim; Laetitia Jeancolas; Jochen Klucken; Vanessa Lage-Rupprecht; Sophie Le Bars; Stepháne  Lehericy; Graziella Mangone; Ivana Paccoud; Dijana Petrovska-Delacrétaz; Tamara Raschka; Cecile De Terwangne; Jean-Marc Van Gyseghem; Jürgen Winkler; Holger Fröhlich

doi:10.21552/aire/2024/2/12

Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine

Noémi Bontridder
, Tom Hähnel
, Mayca Marín Valero
, Laura Carrasco Marín
, Jean-Christophe Corvol
, Mounîm A. El-Yacoubi
, Bjoern Eskofier
, Anas Filali Razzouki
, Anne Funck Hansen
, Enrico Glaab
, Alzhraa A. Ibrahim
, Laetitia Jeancolas
, Jochen Klucken
, Vanessa Lage-Rupprecht
, Sophie Le Bars
, Stepháne Lehericy
, Graziella Mangone
, Ivana Paccoud
, Dijana Petrovska-Delacrétaz
, Tamara Raschka

Cecile De Terwangne, Jean-Marc Van Gyseghem, Jürgen Winkler, Holger Fröhlich

Research output: Contribution to journal › Article › peer-review

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Abstract

Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this potential using data from three different cohort studies in Luxembourg, France and Germany. Data processing using artificial intelligence allows inferring disease symptoms and their progression. We found that digital devices, which collect large amounts of data during use, are highly accepted by patients. There are, however, challenges to legally collect patient-level data and process them using artificial intelligence for research and medical development in the European Union. This report discusses this topic from the perspectives of physicians, data scientists, patients, and lawyers.

Original language	English
Pages (from-to)	249-253
Journal	Journal of AI Law and Regulation
Volume	1
Issue number	2
DOIs	https://doi.org/10.21552/aire/2024/2/12
Publication status	Published - 2024

Funding

This work was funded by DIGIPD (01KU2110), a project supported by the Fund for Scientific Research (F.R.S.–FNRS), the Agence Nationale de la Recherche (ANR), the Federal Ministry of Education and Research (BMBF), the Federal Ministry of Health (BMG), and the National Research Fund (FNR, INTER/ERAPerMed 20/14599012, INTER/22/17104370/RECAST), under the frame of ERA PerMed

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Bontridder, N., Hähnel, T., Marín Valero, M., Marín, L. C., Corvol, J.-C., El-Yacoubi, M. A., Eskofier, B., Razzouki, A. F., Funck Hansen, A., Glaab, E., Ibrahim, A. A., Jeancolas, L., Klucken, J., Lage-Rupprecht, V., Le Bars, S., Lehericy, S., Mangone, G., Paccoud, I., Petrovska-Delacrétaz, D., ... Fröhlich, H. (2024). Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine. Journal of AI Law and Regulation, 1(2), 249-253. https://doi.org/10.21552/aire/2024/2/12

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abstract = "Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this potential using data from three different cohort studies in Luxembourg, France and Germany. Data processing using artificial intelligence allows inferring disease symptoms and their progression. We found that digital devices, which collect large amounts of data during use, are highly accepted by patients. There are, however, challenges to legally collect patient-level data and process them using artificial intelligence for research and medical development in the European Union. This report discusses this topic from the perspectives of physicians, data scientists, patients, and lawyers.",

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Bontridder, N, Hähnel, T, Marín Valero, M, Marín, LC, Corvol, J-C, El-Yacoubi, MA, Eskofier, B, Razzouki, AF, Funck Hansen, A, Glaab, E, Ibrahim, AA, Jeancolas, L, Klucken, J, Lage-Rupprecht, V, Le Bars, S, Lehericy, S, Mangone, G, Paccoud, I, Petrovska-Delacrétaz, D, Raschka, T, De Terwangne, C , Van Gyseghem, J-M, Winkler, J & Fröhlich, H 2024, 'Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine', Journal of AI Law and Regulation, vol. 1, no. 2, pp. 249-253. https://doi.org/10.21552/aire/2024/2/12

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T1 - Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine

AU - Bontridder, Noémi

AU - Hähnel, Tom

AU - Marín Valero, Mayca

AU - Marín, Laura Carrasco

AU - Corvol, Jean-Christophe

AU - El-Yacoubi, Mounîm A.

AU - Eskofier, Bjoern

AU - Razzouki, Anas Filali

AU - Funck Hansen, Anne

AU - Glaab, Enrico

AU - Ibrahim, Alzhraa A.

AU - Jeancolas, Laetitia

AU - Klucken, Jochen

AU - Lage-Rupprecht, Vanessa

AU - Le Bars, Sophie

AU - Lehericy, Stepháne

AU - Mangone, Graziella

AU - Paccoud, Ivana

AU - Petrovska-Delacrétaz, Dijana

AU - Raschka, Tamara

AU - De Terwangne, Cecile

AU - Van Gyseghem, Jean-Marc

AU - Winkler, Jürgen

AU - Fröhlich, Holger

PY - 2024

Y1 - 2024

N2 - Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this potential using data from three different cohort studies in Luxembourg, France and Germany. Data processing using artificial intelligence allows inferring disease symptoms and their progression. We found that digital devices, which collect large amounts of data during use, are highly accepted by patients. There are, however, challenges to legally collect patient-level data and process them using artificial intelligence for research and medical development in the European Union. This report discusses this topic from the perspectives of physicians, data scientists, patients, and lawyers.

AB - Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this potential using data from three different cohort studies in Luxembourg, France and Germany. Data processing using artificial intelligence allows inferring disease symptoms and their progression. We found that digital devices, which collect large amounts of data during use, are highly accepted by patients. There are, however, challenges to legally collect patient-level data and process them using artificial intelligence for research and medical development in the European Union. This report discusses this topic from the perspectives of physicians, data scientists, patients, and lawyers.

U2 - 10.21552/aire/2024/2/12

DO - 10.21552/aire/2024/2/12

M3 - Article

SN - 2942-4372

VL - 1

SP - 249

EP - 253

JO - Journal of AI Law and Regulation

JF - Journal of AI Law and Regulation

IS - 2

ER -

Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine

Abstract

Funding

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