Dr Amos Folarin Research fellows Supervisors Senior Software Development Group Leader Contact details +44 (0) 20 7848 0924 amos.folarin@kcl.ac.uk
A 10-week remote monitoring study of sleep features and their variability in individuals with and without ADHD ADHD Remote Technology and ADHD Transition: Predicting and Preventing Negative Outcomes (ART-transition) - An Adolescent Prospective Cohort Study Protocol 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 Assessing seasonal and weather effects on depression and physical activity using mobile health data 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 Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model-Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study Exploring biases related to the use of large language models in a multilingual depression corpus Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorder Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants Lexical Markers and Text Embedding Prediction of Depression Symptom Severity Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity Remote early detection of SARS-CoV-2 infections using a wearable-based algorithm: Results from the COVID-RED study, a prospective randomised single-blinded crossover trial Speech reference intervals: an assessment of feasibility in depression symptom severity prediction The Association Between Disordered Eating and Sleep in Non-Clinical Populations—A Systematic Review and Meta-Analysis The role of digital health in respiratory diseases management: a narrative review of recent literature A wearable device perspective on the standard definitions of disability progression in multiple sclerosis Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial Correction to: Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol (BMC Psychiatry, (2024), 24, 1, (409), 10.1186/s12888-024-05841-w) Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform Exploring Digital Biomarkers for Depression Using Mobile Technology Home monitoring to detect progression of interstitial lung disease: A prospective cohort study Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model Interstitial lung disease: a review of classification, etiology, epidemiology, clinical diagnosis, pharmacological and non-pharmacological treatment Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case-control study Pre- and post-COVID 19 outbreak relationship between physical activity and depressive symptoms in Spanish adults with major depressive disorder: a secondary analysis of the RADAR-MDD cohort study RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data Real-time mobile health analytics & interventions pipeline to detect acute events in COPD The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis Barriers to and Facilitators of Using Remote Measurement Technology in the Long-Term Monitoring of Individuals With ADHD: Interview Study Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models Clinicians’ Perspectives of Wearable Technology to Detect and Monitor Exacerbations of Chronic Obstructive Pulmonary Disease: Mixed-Method Survey Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study Multilingual markers of depression in remotely collected speech samples: A preliminary analysis Multilingual markers of depression in remotely collected speech samples: A preliminary analysis Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People with Depression ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA): a multi-centre prospective cohort study protocol Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings View all publications
30 November 2023 £2.5m funding to study transition to adulthood for individuals with ADHD The Medical Research Council (MRC) has awarded £2.5 million funding to principal investigator,…