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Amos Folarin

Dr Amos Folarin

Research fellows
Supervisors

BRC-MH Software Development Group Leader

Contact details

Biography

Amos Folarin is the Senior Software Development Group Leader at King’s College London - National Institute for Health Research Maudsley Biomedical Research Centre (jointly funded by NIHR BRC-MH and UCL IHI/UCLH BRC). His background is in biochemistry/molecular biology (Bristol). He moved into the computational biology field and has since worked as a data scientist/software developer over the last 16 years (Inpharmatica, Birkbeck, University College London, King’s College London South London and Maudsley NHS Foundation Trust - KCL/SLaM ). Amos joined the NIHR BRC-MH Bioinformatics group in 2012 as the Software Developer Group Lead with a goal of creating an embedded software development team to drive strategic projects for the BRC-MH and SLaM. Amos is currently working on developing the RADAR-base (http://radar-bas.org) data collection platform for remote monitoring using wearable devices, mobile phone sensors, and mobile apps. Other projects of interest include monitoring seasonal infectious diseases, deep-learning image analysis pipelines for high-content screening.

Research Interests:

Mobile Health (mHealth)
Clinical Informatics
Bioinformatics and Genetics

Latest publications

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
RADAR-CNS Consortium, Zhang, Y., Pratap, A., Folarin, A. A., Sun, S., Cummins, N., Matcham, F., Vairavan, S., Dineley, J., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Rambla, C. H., Simblett, S., & 10 othersNica, R., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. W. J. H., Annas, P., Narayan, V. A., Hotopf, M. & Dobson, R. J. B., 17 Feb 2023, In: npj Digital Medicine. 6, 1, 25. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1038/s41746-023-00749-3
The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement
De Angel, V., Adeleye, F., Zhang, Y., Cummins, N., Munir, S., Lewis, S., Puyal, E. L., Matcham, F., Sun, S., Folarin, A., Ranjan, Y., Conde, P., Rashid, Z., Dobson, R. & Hotopf, M., 24 Jan 2023, In: JMIR Mental Health. Research output: Contribution to journal › Article › peer-review
ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART‑CARMA): a multi‑centre prospective cohort study protocol
Denyer, H., Ramos-Quiroga, J. A., Folarin, A., Ramos, C., Nemeth, P., Bilbow, A., Woodward, E., Whitwell, S., Müller-Sedgwick, U., Larsson, H., Dobson, R. & Kuntsi, J., 20 Dec 2022, In: BMC Psychiatry. 13 p., 813. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12888-022-04429-6
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis
Siddi, S., Gine-Vazquez, I., Bailón, R., Matcham, F., Lamers, F., Kontaxis, S., Puyal, E. L., Garcia, E., Dalla Costa, G., Guerrero, A. I., Zabalza, A., Comi, G., Leocani, L., Annas, P., Hotopf, M., Penninx, B. W. J. H., Magyari, M., Sørensen, P., Montalban, X., Lavelle, G., & 22 othersIvan, A., Oetzmann, C., White, K. M., Difrancesco, S., Locatelli, P., C. Mohr, D., Narayan, V., Folarin, A., Dobson, R., Dineley, J., Leightley, D., Cummins, N., Vairavan, S., Ranjan, Y., Rashid, Z., Rintala, A., de Girolamo, G., Preti, A., Simblett, S., Wykes, T., Germeys, I. M. & Maria Haro, J., 2 Dec 2022, In: Journal of Clinical Medicine. 11, 23, 7163. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3390/jcm11237163
Best practices in the real-world data life cycle
Zhang, J., Symons, J., Agapow, P., Teo, J. T., Paxton, C. A., Abdi, J., Mattie, H., Davie, C., Torres, A. Z., Folarin, A., Sood, H., Celi, L. A., Halamka, J., Eapen, S. & Budhdeo, S., 18 Jan 2022, In: PLOS Digital Health. 1, 1, p. 1-14 14 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1371/journal.pdig.0000003
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
RADAR-CNS Consortium, 4 Oct 2022, In: JMIR mHealth and uHealth. 10, 10, p. e40667 e40667. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/40667
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions
Sun, S., Folarin, A. A., Zhang, Y., Cummins, N., Liu, S., Stewart, C., Ranjan, Y., Rashid, Z., Conde, P., Laiou, P., Sankesara, H., Costa, G. D., Leocani, L., Sørensen, P. S., Magyari, M., Guerrero, A. I., Zabalza, A., Vairavan, S., Bailon, R., Simblett, S., & 8 othersMyin-Germeys, I., Rintala, A., Wykes, T., Narayan, V. A., Hotopf, M., Comi, G., Dobson, R. JB. & consortium, RADAR-CNS., Dec 2022, In: Computer Methods and Programs in Biomedicine. 227 Research output: Contribution to journal › Article › peer-review
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals
Noor, K., Roguski, L., Bai, X., Handy, A., Klapaukh, R., Folarin, A., Romao, L., Matteson, J., Lea, N., Zhu, L., Asselbergs, F. W., Wong, W. K., Shah, A. & Dobson, R. JB., 24 Aug 2022, In: JMIR Medical Informatics. 10, 8, p. e38122 e38122. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/38122
Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Vairavan, S., Qian, L., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Sankesara, H., Matcham, F., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Simblett, S., Rintala, A., & 10 othersMohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Annas, P., Hotopf, M., Dobson, R. JB. & consortium, RADAR-CNS., 29 Jan 2022. Research output: Working paper/Preprint › Preprint
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Rintala, A., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Pennix, B. WJH., & 4 othersNarayan, V. A., Annas, P., Hotopf, M. & Dobson, R. JB., 26 Apr 2021. Research output: Working paper/Preprint › Preprint

View all publications

Can wearables like Fitbit devices be used to help detect COVID-19?

24 July 2020

Can wearables like Fitbit devices be used to help detect COVID-19?

The COVID-Collab research team at King’s College London have launched a free mobile app which will…