Innovation Portfolio
University of Bern
Comprehensive research university excelling in life sciences, medicine, and space research. Strong focus on climate and environmental sciences, with innovative approaches to sustainable development.
12
Patents
42
Inventors
33
Active Spin-offs
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Licensing Deals
Patent Portfolio
Analysis of our organization's intellectual property assets
Patents by Technology Area
Portfolio Highlights
Total Patents
12
Recent Patent Publications (2024 & 2025)
4
Top Inventors
Patent Portfolio
Featured Technologies
Discover our latest patented technologies
Computer-implemented Method for Single Time Point Dosimetry
The present invention relates to a computer-implemented single time-point dosimetry method (200) comprising the following steps: a. Deriving for one or more organs at least one pre-therapy metrics from a pre-therapy scan of a patient (201); b. Deriving for the one or more organs the activity value at a specific time from a posttherapy scan of the patient (203); c. Computing the time-integrated activity value for the one or more organs (204); wherein the time-integrated value is computed based on the activity value from the posttherapy scan, the specific time of the posttherapy scan and a predicted effective half-life value, and wherein the predicted effective half-life value is determined by a machine learning-model trained according to the method of the present invention.
Geometric Localisation in Medical Imaging
A geometric ultrasound localisation microscopy method is provided according to one embodiment for localising microbubbles. The proposed method uses a novel geometry framework for microbubble localisation through ellipse or ellipsoid intersections to overcome limitations inherent to beamforming. This approach provides a finer distinction between overlapping and clustered spots, improving localisation precision, reliability, and computation efficiency. The present invention thus challenges the conventional wisdom that beamforming is necessary for ULM and proposes a novel beamformer-free approach that according to one example relies on time difference of arrival information between echoes for microbubble localisation.
Off-resonant Encoded Analytical Parameter Quantification Using Multi-Dimensional Linearised Equations
A magnetic resonance imaging method is proposed for quantification of one or more system parameters The method comprises: performing (11, 12) a bSSFP data acquisition of an object of the system to obtain a plurality of image volumes, a respective image volume corresponding to an effective radio frequency phase increment; obtaining (13) voxel-wise a set of multi-dimensional bSSFP signal values for a set of voxels of the plurality of image volumes with a corresponding radio frequency phase increment; constructing (14) voxel-wise a set of multi-dimensional bSSFP profiles for the set of voxels from the set of multi- dimensional bSSFP signal values; applying (15) voxel-wise a mathematical transformation on the multi-dimensional bSSFP profiles to obtain a set of multi-dimensional characteristic coefficients or a set of approximated multi-dimensional characteristic coefficients for the set of voxels; using (16) voxel-wise the set of multi-dimensional characteristic coefficients or approximated multi-dimensional characteristic coefficients to determine a set of parameter bases for the set of voxels; applying (17) one or more analytical solution functions onto the set of parameter bases to quantify voxel-wise the one or more system parameters.
Success Stories
Featured Spin-off Companies
Companies founded based on our organization's technologies
Abrinca GmbH
Abrinca GmbH is a Swiss genomics software startup providing user-friendly genome data management and comparative genomics solutions, centered around its flagship platform Arx.
boum AG
Boum AG is a Swiss startup that offers an innovative smart plant care system for effortless urban gardening, combining automatic watering, an app, and tailored plants for balconies, terraces, and indoors.
PeriVision SA
PeriVision SA develops AI, virtual reality, and cloud-based platforms for efficient and accessible eye testing, focusing on glaucoma and retinal diseases.
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