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
Spin-offs
Patent Portfolio
Analysis of our organization's intellectual property assets
Patents by Technology Area
Portfolio Highlights
Total Patents
12
Recent Patent Publications (2025 & 2026)
1
Top Inventors
Patent Portfolio
Featured Technologies
Discover our latest patented technologies
Computer-implemented Method for Single Time Point Dosimetry
This invention describes a computer-implemented method for performing dosimetry (measurement of absorbed radiation dose) from a single time point during radiopharmaceutical therapy, such as radioligand therapy. By using machine learning trained on pre-therapy and posttherapy scans and clinical data, it can predict patient-specific biokinetics (effective half-life of the radiopharmaceutical in organs or tissues) and thus estimate the total radiation dose absorbed in different organs or tissues from just one imaging scan after therapy instead of the standard, multiple time point approach.
Geometric Localisation in Medical Imaging
This invention introduces a novel geometric localisation method for medical imaging, specifically for localising microbubbles used in ultrasound localisation microscopy (ULM). Instead of the traditional beamforming approach, the method uses a geometry-based system relying on the intersection of ellipses (or ellipsoids) constructed from echo time-of-arrival data from multiple sensors. This enables more precise, reliable, and efficient localisation of microbubbles or small particles within the body, without needing expensive or computationally heavy beamforming algorithms.
Off-resonant Encoded Analytical Parameter Quantification Using Multi-Dimensional Linearised Equations
This invention presents a method and associated computer program for analyzing magnetic resonance imaging (MRI) data—specifically using balanced steady-state free precession (bSSFP) sequences with phase-cycled RF pulses—to rapidly and analytically quantify a variety of system parameters (like relaxation times T1, T2, proton density, and magnetic field inhomogeneity) at each voxel of the scanned volume. The approach uses mathematical transformations (like Fourier transforms) on multidimensional bSSFP data to extract characteristic coefficients, enabling robust, high-speed, and highly accurate generation of quantitative parameter maps without reliance on slow and computationally intensive iterative or dictionary-based methods. The method is also capable of separating and quantifying parameters in both single- and multi-compartment systems, including challenging cases involving fat-water separation in tissues.
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.
Contact the Technology Transfer Office
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