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Stratipath’s solutions & platform

In parallel with the development of Stratipath Breast, Stratipath’s scalable AI platform was also developed in order to rapidly create new data-based solutions for the healthcare and life science industry.

At Stratipath, we believe in combining clinical knowledge, research, and cutting-edge AI capabilities to create solutions that will benefit patient outcomes.

In parallel with the development of Stratipath Breast, Stratipath’s scalable AI platform was also developed in order to rapidly create new data-based solutions for the healthcare and life science industry.

At Stratipath, we believe in combining clinical knowledge, research, and cutting-edge AI capabilities to create solutions that will benefit patient outcomes.

Our foundation

State-of-the-art deep learning

Optimised on clinical labels and patient outcomes. Performance estimates are established in fully independent datasets. Scalable platform for clinical use and efficient R&D.

Unique data

Unique, multi-source, large and growing population-representative cohorts with histopathology images and associated clinical outcome data, allowing to capture the natural variability across all cancer patients.

Strong clinical evidence for rapid implementation

Capacity to generate ample clinical evidence to support rapid market adoption. Our product development is performed in close collaboration with clinical stakeholders and undergoes rigorous internal and external validation.

Regulatory and compliance

High requirements for precision and security for medical devices intended for use in clinical diagnostics

  • The manufacturer's affirmation that products meet all the requirements applicable in relevant EU directives/regulations

  • Free movement on markets within the EU and EEA

  • Registered at competent authority (Läkemedelsverket)

  • CE marking required for in vitro diagnostic (IVD) medical devices to be placed on the market

What does this mean for Stratipath?

  • Documentation and quality assurance of the product life cycle

  • Rigorous and structured verification and validation

  • Surveillance of all systems during use

  • Documented work processes and education of personnel

  • Responsibility for provable marketing