TY - JOUR
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 -