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Virtual Biopsy by MRI

Reference number
Funding from Vinnova SEK 999 950
Project duration June 2017 - February 2018
Status Completed
Venture Swelife and Medtech4Health- Project proposals to improve health

Purpose and goal

Our long-term aim is to supply hospitals with an MRI based virtual biopsy tool for fast and secure cancer diagnosis and treatment monitoring to ensure the right therapy at the right time, and the overall objective in the project was to secure financing for development towards such tool. The Purpose of the project was that by showing Independent use and benefit in a clinical setting and through market research evaluate necessary industrial partners and suitable licensing models needed to refine the business plan and thereby attract further investments in the company.

Expected results and effects

We have shown Independent use and benefit in a clinical setting. Independent users at 6 sites have collected data on clinical MRI scanners and potential industrial partners have been evaluated, resulting in two partners with right qualifications and ambition. A licensing model meeting potential requirements of both licensor and licensees have been developed. The expected outcome of the results was to secure future financing, which has been accomplished.

Planned approach and implementation

Random Walk Imaging and the Department of Physical Chemistry 1, Lund University was responsible for business development. For a detailed analysis of licensing models and market dynamics, an external advisor was consulted. Implementation at independent sites and training of users was conducted by Department of Medical Radiation Physics, Lund University. This included visits to sites for validation as well as hands-on training courses. The department of Diagnostic Radiology, Skåne University Hospital, collected data on brain tumors for correlation with histopathology.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2017-01229

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