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Digital Health Technologies & Digital Biomarkers
Optimise protocol strategies with fit-for-purpose digital measures
ICON supports sponsors in accelerating and improving the assessment, selection and deployment of evidence-backed digital measures in clinical trials.
Our proprietary Atlas platform provides the most comprehensive insights on AI-powered biomarkers, multi-modal technologies, wearable sensors and other digital health technologies.
With 18,000+ digital measures gathered from 3,600 connected sensors spanning more than 1,300 medical conditions across 20 therapeutic areas and backed by more than 15,000 pieces of evidence, deploying the Atlas platform early in the trial lifecycle helps de-risk endpoint selection and optimize protocol design, and ensures the prioritisation of patient-centred outcomes.
The Atlas platform is based on comprehensive data:
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19,000+
digital measures and biomarkers -
3,600+
digital health technologies
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1,700
clinical trials -
15,000+
peer reviewed publications, research papers and conference abstracts
Atlas benefits:
- De-risk trial deployment with validated, scientifically-backed tools and assessments to capture robust data
- Optimise protocol strategies throughout the trial lifecycle, increasing likelihood of regulatory approval
- Development of patient-centered clinical strategies, reducing participation burden and measuring what matters to patients
- 4x faster decision making with Atlas compared to using traditional research methods
Media contributions
Blog contributions
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Blog: Briefing: The UK NICE methods of health technology assessment
In a statement on February 2021, the UK’s National Institute for Health and Care Excellence (NICE) launched a public consultation on proposals for changes to the processes it uses to develop its guidance on medicines, medical devices, diagnostics and digital health technologies.
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Blog: Harnessing digital health to advance traumatic brain injury clinical trials
Advances in wearable technology have provided an effective tool to monitor outcomes and facilitate the delivery of interventions in patients across indications, especially those in need of rehabilitation interventions.
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Blog: Dirty data: How to manage data from wearables in clinical trials
How to manage data from wearables in clinical trials — from overcoming regulatory issues to handling challenges associated with dirty data.
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Blog: Mapping digital health transformation: From digital endpoints to device selection
At ICON, our framework maps the transition from device selection to digital endpoint validation, leading to a better data management and risk mitigation.
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Blog: Wearables across phases: How to best incorporate digital endpoints at every stage of clinical research
How to best incorporate digital endpoints at every stage of clinical research?
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Blog: Wearables and digital endpoint generation
An end-to-end approach to managing wearable devices through clinical development.
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mHealth & Wearables insights
Our mHealth & Wearables insights will help you to understand and successfully address the complexities of implementation of wearable devices in trial design, execution and reporting.
Learn more
Request an Atlas platform demo or arrange a meeting
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