Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine
Year: 2024
Type: article
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.
Source: Journal of AI Law and Regulation
Authors: N. Bontridder, T. Hähnel, M. Marín Valero, L. Carrasco Marín, J. Corvol, M. A. El-Yacoubi, B. M. Eskofier, A. Filali Razzouki, A. Funck Hansen, E. Glaab, A. A. Ibrahim, L. Jeancolas, J. Klucken, V. Lage-Rupprecht, S. Le Bars, S. Lehericy, G. Mangone, I. Paccoud, D. Petrovska-Delacretaz, T. Raschka, C. de Terwangne, J. Van Gyseghem, J. Winkler, H. Fröhlich
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4400735557