CellRACE: AI-based cell tracking software developed and ready for use

Cline Scientific AB has been collaborating on a project with software company IFLAI to develop custom AI-based software for the cancer diagnostic project, CellRACE. In line with the previous information and timeline set out on the 7th of October, this software has now been developed.

 The deep learning software is a fully tailored solution that allows automated cell identification and tracking of cells recorded in Cline experiments. This first-stage project allows Cline to conduct deeper data analysis on millions of data points and to further develop CellRACE into an effective and robust dianogistic product. The new system has the opportunity to be a ground-breaking part of the diagnostic product and lays the foundation for a fully automated system to determine the metastatic risk of a patient’s tumor cells.

 The software will now be installed at the Cline labs and the team will conduct a validation and refinement period allowing for the expanded capabilities going forward.

About IFLAI
IFLAI, short for Innovations for Life Sciences through Artificial Intelligence, is a spinoff company with researchers from the University of Gothenburg and Chalmers University of Technology. With more than 20 years of experience in microscopy and analysis of complex systems, professors Mattias Goksör and Giovanni Volpe have set out to develop a highly flexible, customizable, reliable, and reproducible automated image analysis software for life science applications, based on cutting-edge scalable AI solutions.

 About CellRACE
Cline is developing CellRACE, a cell-based cancer diagnostic product that can assess the risk of metastasis. Using the Cline gradient surfaces combined with advanced analytics, CellRACE aims to predict the probability of metastasis in an accurate manner not possible today as well as in a much earlier stage so the patient can start relevant treatment. The product has the potential to be used both in breast cancer diagnosis as well as in other forms of metastasizing cancer.

The analysis method forms part of the overall CellRACE project and its pathway to becoming a marketed product.  Once the analytical method and prediction algorithm has been completed, the next milestone in the CellRACE development journey will consist of conducting a pilot study. Following this, continued product development and final product design will be completed before performing the necessary regulatory approval steps, such as a clinical performance evaluation.

For more information, please contact:
Patrik Sundh
Email: patrik.sundh@clinescientific.com
Phone: +46 704 88 79 23

Cline Scientific