Seber Medical
Seber Medical develops clinical wound-care solutions derived from two decades of academic research and hospital collaboration. The company provides a mobile point-of-care wound monitoring application with automated image analysis and supports outcome-based wound-care workflows, clinical validation, and deployment across Swedish regional, primary and municipal care settings.
Industries
Nr. of Employees
small (1-50)
Seber Medical
Products
Wound-monitoring mobile application (clinical-grade)
A bedside mobile application that captures wound images and provides automated contour segmentation and quantitative wound-area measurements to support daily monitoring and treatment decisions.
Patented dermatome for skin grafting
A patented surgical dermatome designed for skin graft harvesting with the aim to improve surgical handling and reduce healing time and scarring.
Wound-monitoring mobile application (clinical-grade)
A bedside mobile application that captures wound images and provides automated contour segmentation and quantitative wound-area measurements to support daily monitoring and treatment decisions.
Patented dermatome for skin grafting
A patented surgical dermatome designed for skin graft harvesting with the aim to improve surgical handling and reduce healing time and scarring.
Services
Clinical trial and deployment support for wound-monitoring application
Provision of trial accounts, digital demonstrations and onboarding support for healthcare providers to adopt the mobile wound-monitoring application and associated workflows.
Clinical trial and deployment support for wound-monitoring application
Provision of trial accounts, digital demonstrations and onboarding support for healthcare providers to adopt the mobile wound-monitoring application and associated workflows.
Expertise Areas
- Outcome-based wound care
- Medical image analysis and automated planimetry
- Clinical research and validation in wound care
- Health informatics and mobile health integration
Key Technologies
- AI-driven image segmentation
- Deep convolutional neural networks
- Laser Doppler and laser speckle contrast imaging
- Polarized-light spectroscopy