Clinical trials
DicomWallet streamlines multi-site imaging collection, anonymization, and sharing through a single secure hub so investigators, CROs, and sponsors get timely, compliant access.
Our Story
DicomWallet was born from first-hand frustration with how difficult and slow it was to collect, transfer, anonymize, annotate, quality control, and generally manage medical images in real projects.
Collecting scans from hospitals, ensuring compliance, coordinating annotations, and transferring data securely took far longer than expected—often more time than the AI development itself.
We built DicomWallet to solve that internal problem: a secure, cloud-based service that makes storing, sharing, and collaborating on medical images simple, scalable, and compliant.
Velocity
Months of logistics became a fraction of the time.
Adoption
Hundreds of researchers rely on DicomWallet today.
Scale
Thousands of images are stored and shared securely.
The need quickly grew beyond individuals. Principal investigators and study leads began approaching us for support in multi-site studies and clinical trials, where reliable imaging infrastructure is essential.
DicomWallet now supports that broader mission by providing a trusted imaging backbone for collaborative research at scale.
DicomWallet Use Cases
DicomWallet is more than a storage tool. It is the imaging infrastructure that helps research teams, radiology departments, hospitals, CROs, and sponsors collaborate efficiently.
DicomWallet streamlines multi-site imaging collection, anonymization, and sharing through a single secure hub so investigators, CROs, and sponsors get timely, compliant access.
Manage longitudinal imaging at scale with a central, compliant repository that keeps data secure and accessible for long-term research.
Create compliant, anonymized imaging lakes that transform scattered trial images into structured R&D assets for drug development and biomarker discovery.
Support international consortia with secure, compliant sharing of imaging datasets across institutions and borders without compromising privacy.
Deliver AI-ready, FAIR imaging datasets that reduce preparation time and help innovators move faster from data collection to clinical impact.
Our Team
Our team combines experience in clinical research, AI, product development, and healthcare operations to deliver secure imaging collaboration at scale.
Founder
Fatemeh began her career as a lecturer in Marketing at Alliance Manchester Business School. Her research centered on the commercialization of digital health technology, the analysis of online health service providers, and innovation in the field.
Product Manager and Business Analyst
Marziyeh manages product features and ensures efficient workflow and progression across DicomWallet.
Computational Biology and AI/ML Lead
Lovena is a highly experienced expert in computational biology and AI/ML software development, helping translate AI capabilities into world-class technology.
Senior Data Scientist
Shayan brings 11+ years of experience in the medical device industry with strengths in signal processing, statistics, mathematics, and respiratory function.
Financial Advisor
Seyed is a qualified investment banker with a track record of advising on business growth and strategic financial planning.
Senior Data Scientist
Ali specializes in AI-enabled vision systems and develops analytics and machine learning tools for resource-constrained environments. He earned a PhD from Oxford University focused on medical data analysis and healthcare innovation.
Medical Doctor
Shahram is a medical doctor and graduate of the University of Medical Sciences, currently a specialist at Northeast London Foundation Trust in London.