Pharma, biotech & CROs
Identify sites and patients with imaging and EHR insights to speed enrolment and cut screen failures.
AI-driven analyses custom-developed to match your trials’ inclusion/exclusion criteria to find eligible patients based on EHR- and image-based biomarkers. Increase site yield and accelerate recruitment while reducing site burden.
Inform feasibility studies by collecting data on patient demographics, disease prevalence, current treatments and more by partnering with trial sites to safely share insights from their data.
Safely simulate and iterate different sets of inclusion/exclusion criterial to maximise the trial’s chances of success and minimise the need for time-consuming protocol amendments.
Make faster, more informed site selection decisions based on objective data about the patient populations accessible via each site. No more relying on over-optimistic estimates of patient availability and diversity.
Get real-time insights directly from trial sites in order to inform decision-making and iron out bottlenecks, without data transfers. From image quality assessments to protocol adherence reports.
Automatically monitor drug- and device safety, identify adverse events, and find opportunities for improvement by tapping into real-time source-of-truth imaging and EHR data using federated data science.
Empower global teams to run joint analyses across datasets using Bitfount’s privacy-preserving compute framework—no data ever leaves its source
No-code desktop application
Easy to install on Windows or Mac
Deep imaging capabilities
Analyse OCT, FAF, CF, SLO images and more
Integrate your EMR
Connect your EMR data for deeper analysis
Model agnostic
Use any model provider with Bitfount
Stadtspital Zürich
Queen’s University Belfast
Moorfields Eye Hospital
Bay Area Retina Associates
RCMG
Berner Augenklinik
RVAF
Retina Macula Institute
University of Utah
The Retina Clinic London
Universität Regensburg
Erie Retina Research
Ganglion Orvosi Központ
Cascade Medical Research Inst.
Verum Research LLC
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.
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.
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.
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.
Contact our team for tailored guidance or more details about your use case.