Detalhe da pesquisa
1.
A wearable device perspective on the standard definitions of disability progression in multiple sclerosis.
Mult Scler
; 30(1): 103-112, 2024 Jan.
Artigo
Inglês
| MEDLINE | ID: mdl-38084497
2.
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.
J Med Internet Res
; 25: e45233, 2023 08 14.
Artigo
Inglês
| MEDLINE | ID: mdl-37578823
3.
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis.
Sensors (Basel)
; 23(13)2023 Jun 29.
Artigo
Inglês
| MEDLINE | ID: mdl-37447866
4.
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study.
BMC Psychiatry
; 22(1): 136, 2022 02 21.
Artigo
Inglês
| MEDLINE | ID: mdl-35189842
5.
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit
; 123: 108403, 2022 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-34720200
6.
Replication study of plasma proteins relating to Alzheimer's pathology.
Alzheimers Dement
; 17(9): 1452-1464, 2021 09.
Artigo
Inglês
| MEDLINE | ID: mdl-33792144
7.
Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study.
Neurol Sci
; 41(7): 1647-1650, 2020 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-32617741
8.
Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19.
J Med Internet Res
; 22(9): e19992, 2020 09 25.
Artigo
Inglês
| MEDLINE | ID: mdl-32877352
9.
Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.
BMC Genomics
; 17: 669, 2016 08 23.
Artigo
Inglês
| MEDLINE | ID: mdl-27549765
10.
It's a long shot, but it just might work! Perspectives on the future of medicine.
BMC Med
; 14(1): 176, 2016 Nov 07.
Artigo
Inglês
| MEDLINE | ID: mdl-27817747
11.
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
J Affect Disord
; 355: 40-49, 2024 Jun 15.
Artigo
Inglês
| MEDLINE | ID: mdl-38552911
12.
Modeling disease progression via multi-task learning.
Neuroimage
; 78: 233-48, 2013 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-23583359
13.
Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes.
Br J Clin Pharmacol
; 75(1): 146-61, 2013 Jan.
Artigo
Inglês
| MEDLINE | ID: mdl-22534009
14.
The ADAS-Cog revisited: novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trials.
Alzheimers Dement
; 9(1 Suppl): S21-31, 2013 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-23127469
15.
Personalized relapse prediction in patients with major depressive disorder using digital biomarkers.
Sci Rep
; 13(1): 18596, 2023 10 30.
Artigo
Inglês
| MEDLINE | ID: mdl-37903878
16.
Digital endpoints in clinical trials of Alzheimer's disease and other neurodegenerative diseases: challenges and opportunities.
Front Neurol
; 14: 1210974, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-37435159
17.
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis.
Front Physiol
; 14: 1145818, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-37089424
18.
The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study.
Int J Environ Res Public Health
; 20(6)2023 03 15.
Artigo
Inglês
| MEDLINE | ID: mdl-36982069
19.
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis.
J Affect Disord
; 341: 128-136, 2023 11 15.
Artigo
Inglês
| MEDLINE | ID: mdl-37598722
20.
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
NPJ Digit Med
; 6(1): 25, 2023 Feb 17.
Artigo
Inglês
| MEDLINE | ID: mdl-36806317