Pauline Conde

London, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 35 publications

Cohort profile: characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19 - providing the evidence base for health care services (CONVALESCENCE) in the UK.

Cohort profile: characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19 - providing the evidence base for health care services (CONVALESCENCE) in the UK.

Journal: BMJ open

Published: June 05, 2025

A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study.

A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study.

Journal: JMIR research protocols

Published: January 21, 2025

Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants.

Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants.

Journal: Journal of affective disorders

Published: September 24, 2024

Correction: Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol.

Correction: Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol.

Journal: BMC psychiatry

Published: September 19, 2024

RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research.

RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research.

Journal: Sensors (Basel, Switzerland)

Published: May 29, 2024

Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol.

Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol.

Journal: BMC psychiatry

Published: April 24, 2024

Assessing seasonal and weather effects on depression and physical activity using mobile health data.

Assessing seasonal and weather effects on depression and physical activity using mobile health data.

Journal: Npj mental health research

Published: April 11, 2024

RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease.

RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease.

Journal: Alzheimer's research & therapy

Published: February 16, 2024

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis.

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis.

Journal: Journal of medical Internet research

Published: December 08, 2023

Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study.

Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study.

Journal: JMIR formative research

Published: November 14, 2023

Home monitoring to detect progression of interstitial lung disease: A prospective cohort study.

Home monitoring to detect progression of interstitial lung disease: A prospective cohort study.

Journal: Respirology (Carlton, Vic.)

Published: October 25, 2023

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.

Journal: Journal of affective disorders

Published: September 26, 2023

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Last Updated: 09/26/2026