Pharma, biotech & CROs

Accelerate and de-risk the entire trial lifecycle

Identify sites and patients with imaging and EHR insights to accelerate enrolment, increase site yield and cut screen failures.

Use cases

Patient pre-screening

Patient pre-screening

Empower sites to boost enrolment and reduce screen fails

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.

Patient pre-screening

Feasibility studies

Assess study feasibility in minutes, not months

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.

Patient pre-screening

Protocol design

Design smarter protocols informed by real-world 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.

Patient pre-screening

Site selection

Select the right sites backed by real evidence

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.

Patient pre-screening

Trial monitoring

Move towards adaptive trial design by closing the feedback loop in real time

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.

Patient pre-screening

Post-market surveillance

Detect safety signals earlier through federated insights

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.

Patient pre-screening

Secure collaboration

Enable cross-organization research without data risk

Empower global teams to run joint analyses across datasets using Bitfount’s privacy-preserving compute framework—no data ever leaves its source

Bitfount platform

Easy IT integration

Install in seconds via desktop app (available for Windows and Mac) or Python SDK

No-code workflow

Intuitive workflow for use by anyone from physicians to research teams to data scientists

Powerful data governance & IP protection

Built-in governance features ensure you’re always in control of how your data is used and by whom

Deep imaging capabilities

Efficiently analyse 2D or 3D medical images. No de-identification or pseudonymisation required

Integrate your EMR

Connect your Electronic Medical Record (EMR) system for deeper cross-silo analysis

Model agnostic

Use commercial, academic or open-source models. No vendor lock-in

Download

Supported image formats

Supported EHR systems

Supported model frameworks

Certifiably secure

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.

Any more questions?

Contact our team for tailored guidance or more details about your use case.

Still have questions?

Our team are here to help

Contact us

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