Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Yuezhou Zhang 001; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; et al. (CoRR, 2021)

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. - Shaoxiong Sun; Amos A. Folarin; Yuezhou Zhang 001; Nicholas Cummins; Shuo Liu 012; Callum L. Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou; Heet Sankesara; Gloria Dalla Costa; et al. (Comput. Methods Programs Biomed., 2022)

Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data. - Zulqarnain Rashid; Amos A. Folarin; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Yuezhou Zhang 001; Shaoxiong Sun; Callum L. Stewart; Petroula Laiou; Richard J. B. Dobson (CoRR, 2023)

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. - Yuezhou Zhang 001; Amos A. Folarin; Judith Dineley; Pauline Conde; Valeria de Angel; Shaoxiong Sun; Yatharth Ranjan; Zulqarnain Rashid; Callum L. Stewart; Petroula Laiou; Heet Sankesara; Linglong Qian; et al. (CoRR, 2023)

Knowledge Enhanced Conditional Imputation for Healthcare Time-series. - Linglong Qian; Zina M. Ibrahim; Hugh Logan Ellis; Ao Zhang; Yuezhou Zhang 001; Tao Wang 036; Richard J. B. Dobson (CoRR, 2023)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang 001; Abhishek Pratap; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Faith Matcham; Srinivasan Vairavan; Judith Dineley; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; et al. (npj Digit. Medicine, 2023)

Longitudinal Modeling of Depression Shifts Using Speech and Language. - Paula Andrea Pérez-Toro; Judith Dineley; Agnieszka Kaczkowska; Pauline Conde; Yuezhou Zhang 001; Faith Matcham; Sara Siddi; Josep Maria Haro; Stuart Bruce; Til Wykes; Raquel Bailón; Srinivasan Vairavan; et al. (ICASSP, 2024)

Real-Time Mobile Health Analytics and Interventions Pipeline to Detect Acute Events in COPD. - Heet Sankesara; Yatharth Ranjan; Pauline Conde; Malik A. Althobiani; Zulqarnain Rashid; Akash Roy Choudhury; Callum L. Stewart; Yuezhou Zhang 001; Joanna Porter; John R. Hurst; Richard J. B. Dobson; Amos Folarin (MobiQuitous, 2024)

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants. - Yuezhou Zhang 001; Callum L. Stewart; Yatharth Ranjan; Pauline Conde; Heet Sankesara; Zulqarnain Rashid; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (CoRR, 2024)

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices. - Yuezhou Zhang 001; Amos A. Folarin; Callum L. Stewart; Heet Sankesara; Yatharth Ranjan; Pauline Conde; Akash Roy Choudhury; Shaoxiong Sun; Zulqarnain Rashid; Richard J. B. Dobson (CoRR, 2025)

Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity. - Anastasiia Tokareva; Judith Dineley; Zoe Firth; Pauline Conde; Faith Matcham; Sara Siddi; Femke Lamers; Ewan Carr; Carolin Oetzmann; Daniel Leightley; Yuezhou Zhang 001; Amos A. Folarin; et al. (CoRR, 2025)