0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThis project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.
Gerard Anmella, Filippo Corponi, Bryan M. Li, Ariadna Mas, Marina Garriga, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iría Grande, Antoni Benabarre, Anna Giménez‐Palomo, Isabel Agasi, Myriam Cavero, Miquel Bioque, Clemente García‐Rizo, Santiago Madero, Néstor Arbelo, Andréa Murru, Sílvia Amoretti, Anabel Martínez‐Arán, Victoria Ruíz, Y. Rivas, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Raduà, Ludovic Samalin, Allan H. Young, Antonio Vergari, Eduard Vieta, Diego Hidalgo‐Mazzei (2024). Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): protocol for a pragmatic observational clinical study. , 10(5), DOI: https://doi.org/10.1192/bjo.2024.716.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
32
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1192/bjo.2024.716
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access