Overview
The client is a Swiss HealthTech startup from EPFL who has been using our selected partner’s services since 2017 to build a suite of data analytics and image processing software supporting breast cancer surgeries and digital pathology workflows. Leveraging revolutionary imaging technology, the platform enables real-time morphology visualization, significantly improving surgical outcomes and diagnostic precision.
Objective
To develop an integrated HealthTech software ecosystem that empowers clinicians with tools to visualize, annotate, and interpret histological images in real time, directly during surgery. The platform helps reduce re-operation rates by up to 75%, as supported by the POLARHIS study.
Team Composition
- Up to 15 different specialists at different cooperation stages
Technology Stack
- Back-End: Java, Spring Boot, Hibernate, MySQL, H2 Database, Liquibase, Apache FOP, dcm4che
- Front-End: Angular, TypeScript, RxJS, Node.js
- Testing: Custom DDT (Data-Driven Testing) framework
HealthTech Software Projects Delivered
🔶 Scanner GUI – A modern, ergonomic touchscreen interface for controlling the histology scanner and managing image collections.
🔶 Advanced Viewer – A feature-rich imaging system enabling annotation, ROI marking, and collaborative image review with full metadata support.
🔶 DICOM Implementation – A DICOM-compliant communication module specifically designed for histology. Recognized by DICOM expert David A. Clunie.
🔶 License Management System (LMS) – Software for managing licenses, enabling flexible pricing models and software bundling strategies.
🔶 Performance Assessment Tool – Web-based quiz platform for pathologists to test and improve their morphology reading skills.
🔶 HIT Academy – A full-scale digital learning platform for histology image interpretation, tailored for onboarding and continuous training.
🔶 Histolog Guide – An AI-powered assistant for clinicians to boost diagnostic confidence and accuracy during breast cancer diagnosis.
Key Achievements & Impact
- Re-operation rate reduced by 75% in breast cancer surgeries.
- Long-term collaboration since 2017, acting as a fully remote software department.
- Delivered 7+ major software systems to support digital pathology, diagnostics, and clinical education.
- Proven scalability and reliability of software across different medical environments.
What’s Next
With rising product demand, the company plans to scale the development team further to accelerate innovation and strengthen its leadership in digital pathology.
Benefits for HealthTech Companies
- Real-time digital pathology and surgical imaging solutions
- Custom software development for cancer diagnostics
- Scalable HealthTech platforms integrated with AI and DICOM
- Full-cycle HealthTech product development and support
Looking for a trusted partner to build your digital pathology or diagnostic HealthTech solution?