Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles. - Eleni G. Christodoulou; O. D. Røe; Amos Folarin; Ioannis Tsamardinos (EANN, 2011)

SleepSight: a wearables-based relapse prevention system for schizophrenia. - Maximilian Kerz; Amos Folarin; Nicholas Meyer; Mark Begale; James MacCabe; Richard J. B. Dobson (UbiComp Adjunct, 2016)

RADAR-base: A Novel Open Source m-Health Platform. - Yatharth Ranjan; Maximilian Kerz; Zulqarnain Rashid; Sebastian Böttcher; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

RADAR-base: Epilepsy Case Study. - Zulqarnain Rashid; Callum L. Stewart; Sebastian Böttcher; Yatharth Ranjan; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

RADAR-base: Major Depressive Disorder and Epilepsy Case Studies. - Callum L. Stewart; Zulqarnain Rashid; Yatharth Ranjan; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2018)

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research. - Honghan Wu; Giulia Toti; Katherine I. Morley; Zina M. Ibrahim; Amos Folarin; Richard G. Jackson; Ismail Emre Kartoglu; Asha Agrawal; Clive Stringer; Darren Gale; Genevieve Gorrell; Angus Roberts; et al. (J. Am. Medical Informatics Assoc., 2018)

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. - Richard G. Jackson; Ismail Emre Kartoglu; Clive Stringer; Genevieve Gorrell; Angus Roberts; Xingyi Song; Honghan Wu; Asha Agrawal; Kenneth Lui; Tudor Groza; Damian Lewsley; Doug Northwood; et al. (BMC Medical Informatics Decis. Mak., 2018)

Challenges & solutions in a hybrid mHealth mobile app. - Yatharth Ranjan; Amos A. Folarin; Callum L. Stewart; Pauline Conde; Richard J. B. Dobson; Zulqarnain Rashid (UbiComp/ISWC Adjunct, 2019)

Using multimodal biosignal data from wearables to detect focal motor seizures in individual epilepsy patients. - Sebastian Böttcher; Nikolay V. Manyakov; Nino Epitashvili; Amos Folarin; Mark P. Richardson; Matthias Dümpelmann; Andreas Schulze-Bonhage; Kristof Van Laerhoven (iWOAR, 2019)

MedCAT - Medical Concept Annotation Tool. - Zeljko Kraljevic; Daniel Bean; Aurelie Mascio; Lukasz Roguski; Amos Folarin; Angus Roberts; Rebecca Bendayan; Richard J. B. Dobson (CoRR, 2019)

Using smartphones and wearable devices to monitor behavioural changes during COVID-19. - Shaoxiong Sun; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Nicholas Cummins; Faith Matcham; Gloria Dalla Costa; Letizia Leocani; Per Soelberg Sørensen; Mathias Buron; Ana Isabel Guerrero; et al. (CoRR, 2020)

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. - Hegler Correa Tissot; Anoop D. Shah; David Brealey; Steve K. Harris; Ruth Agbakoba; Amos Folarin; Luis Romao; Lukasz Roguski; Richard J. B. Dobson; Folkert W. Asselbergs (IEEE J. Biomed. Health Informatics, 2020)

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. - Judith Dineley; Grace Lavelle; Daniel Leightley; Faith Matcham; Sara Siddi; Maria Teresa Peñarrubia-María; Katie M. White; Alina Ivan; Carolin Oetzmann; Sara Simblett; Erin Dawe-Lane; Stuart Bruce; et al. (Interspeech, 2021)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - Yuezhou Zhang; 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)

Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. - Kawsar Noor; Lukasz Roguski; Alex Handy; Roman Klapaukh; Amos Folarin; Luis Romao; Joshua Matteson; Nathan Lea; Leilei Zhu; Wai Keong Wong; Anoop D. Shah; Richard J. B. Dobson (CoRR, 2021)

Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data. - Berber T. Snoeijer; Mariska Burger; Shaoxiong Sun; Richard J. B. Dobson; Amos A. Folarin (npj Digit. Medicine, 2021)

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond. - Yatharth Ranjan; Heet Sankesara; Pauline Conde; Jiangeng Chang; Zulqarnain Rashid; Richard J. B. Dobson; Amos A. Folarin (UbiComp/ISWC Adjunct, 2022)

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; 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)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. - Edward L. Campbell; Judith Dineley; Pauline Conde; Faith Matcham; Katie M. White; Carolin Oetzmann; Sara Simblett; Stuart Bruce; Amos A. Folarin; Til Wykes; Srinivasan Vairavan; Richard J. B. Dobson; et al. (INTERSPEECH, 2023)

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; 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; 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)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang; 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)

Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. - Yamiko Joseph Msosa; Arturas Grauslys; Yifan Zhou; Tao Wang 036; Iain E. Buchan; Paul Langan; Steven Foster; Michael Walker; Michael Pearson; Amos Folarin; Angus Roberts; Simon Maskell; et al. (IEEE J. Biomed. Health Informatics, 2023)

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

RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research. - Yatharth Ranjan; Jiangeng Chang; Heet Sankesara; Pauline Conde; Zulqarnain Rashid; Richard J. B. Dobson; Amos Folarin (Sensors, 2024)

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices. - Yuezhou Zhang; 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)