Amos Folarin
Department of Biostatistics and Health Informatics,
Institute of Psychiatry,
Psychology and Neuroscience,
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience
King's College London
Software Development Group Leader at the KCL BRC-MH. Qualified as a biochemist/molecular biologist (BSc) and has since worked as a bioinformatician (MRes, PhD) and software developer (Inpharmatica, Birkbeck, UCL, KCL/SLaM) over the last 16 years. A keen advocate of the value of software and technology in healthcare and research. I lead a software development group working on several disruptive projects in mHealth and clinical informatics/data science (RADAR-base (https://radar-base.org), CogStack (https://cogstack.org), HIPSCI deep learning pipelines).
A high-content small molecule screen identifies sensitivity of glioblastoma stem cells to inhibition of polo-like kinase 1.
PloS one , 2013 | Pubmed ID: 24204733
A high-content platform to characterise human induced pluripotent stem cell lines.
Methods (San Diego, Calif.) Mar, 2016 | Pubmed ID: 26608109
A Novel Automated High-Content Analysis Workflow Capturing Cell Population Dynamics from Induced Pluripotent Stem Cell Live Imaging Data.
Journal of biomolecular screening Oct, 2016 | Pubmed ID: 27256155
Genetic Risk as a Marker of Amyloid-β and Tau Burden in Cerebrospinal Fluid.
Journal of Alzheimer's disease : JAD , 2017 | Pubmed ID: 27834776
SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.
Journal of the American Medical Informatics Association : JAMIA 05, 2018 | Pubmed ID: 29361077
Exome array analysis of adverse reactions to fluoropyrimidine-based therapy for gastrointestinal cancer.
PloS one , 2018 | Pubmed ID: 29715290
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.
BMC medical informatics and decision making 06, 2018 | Pubmed ID: 29941004
Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform.
JMIR mHealth and uHealth Oct, 2018 | Pubmed ID: 30377146
RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices.
JMIR mHealth and uHealth 08, 2019 | Pubmed ID: 31373275
Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study.
JMIR mHealth and uHealth May, 2020 | Pubmed ID: 32379055
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Tao Wang1,
Dominic Oliver2,
Yamiko Msosa1,
Craig Colling3,
Giulia Spada2,
Łukasz Roguski4,
Amos Folarin1,
Robert Stewart3,5,
Angus Roberts1,3,
Richard J. B. Dobson1,3,4,6,
Paolo Fusar-Poli2,3,7,8
1Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London,
2Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London,
3National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust,
4Institute of Health Informatics, University College London,
5Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London,
6Health Data Research UK London, University College London,
7OASIS service, South London and Maudsley National Health Service (NHS) Foundation Trust,
8Department of Brain and Behavioral Sciences, University of Pavia
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