CLINICAL trials
Accelerate and de-riskthe entire trial lifecycle
Clinical trials are complex, time-critical, data-intensive projects. Federated data science enables all sides to collaborate easily, quickly and confidently.
Trials Ecosystem
Better clinical trials for everyone
Bitfount enables sponsors, CROs, sites and algorithm developers to work together seamlessly. From protocol design and feasibility assessments, to site selection, patient recruitment and trial monitoring.
88% reduction in costs for patient pre-screening in retinal disease trials using AI
Deploying deep-learning AI models on data directly within hospital systems helped identify ~100x more eligible patients than would normally be found via the current system of manual image analyses and health record searches.
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key features and benefits
Safe, secure, on-premise AI and data analysis
Cut governance burden
Full GDPR and HIPAA compliance
Diverse data support
Analyse imaging, EHR, and all types of data
No code app
No-code desktop app and scalable SDK
Custom results
Visualise results with custom PDF reports
Medical AI network
Access a network of medical AI models
CAPABILITIES
Relevant capabilities for clinical trials
Frequently asked questions
Can Bitfount access my data?
No, Bitfount’s zero-trust architecture ensures Bitfount never receives data or analysis results. Analysis results are transferred between data custodians and data scientists end-to-end encrypted using encryption keys held by each party and not accessible to Bitfount. Read more here.
What will my Information Governance team think of this?
Information Governance and Legal teams love Bitfount since it removes the need for complex Data Sharing Agreements (DSA) and Material Transfer Agreements (MTA), and massively simplifies Data Protection Impact Assessments (DPIA). Bitfount is also fully GDPR, HIPAA and ISO27001 compliant. Visit our online Trust Centre here.
Do I need to be able to code?
No. Our desktop application has been designed to be operated without requiring any coding knowledge. This includes connecting datasets, joining projects, running tasks and accessing analysis results. Data scientists and algorithm developers can choose to interact with Bitfount via our python SDK.
Are there any hardware requirements?
There aren’t any specific requirements, however AI analysis at scale can be compute-intensive and will run more efficiently, especially for image analysis, if you have access to a machine (physical or virtual) with a GPU. Suitable devices include any Apple silicon model, or a Windows or Linux machine with an Nvidia GPU. Not sure if you have the right setup? Reach out to us at support@bitfount.com for guidance.
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