Cosylab’s solutions are integrated into the most significant Big Science international projects
Cosylab is the leading provider of cutting-edge expertise, turnkey software solutions, and electronics for the world’s most advanced systems and devices, such as particle accelerators, large telescope arrays, fusion reactors, innovative medical devices, and cancer therapy systems. Its turnkey software solutions enable organisations to make scientific breakthroughs, deliver state-of-the-art cancer treatments, develop healthcare innovations and bring clean fusion energy to the world. Cosylab also helps organisations of all sizes and scopes accelerate development and shorten time-to-market with unique end-to-end capabilities while providing software products and services to the largest medical device manufacturers and cancer centres worldwide, such as Mayo Clinic, Varian and MGH.
In the BoneOscopy project, Cosylab is tasked with managing data collection from the fully functional DAQ device/detector. It will provide software to gather data from the device, store it in a database for archiving, and offer tools for monitoring and analysing the data. Additionally, it will design a custom mechanical solution and develop intuitive interfaces for controlling the robotic structure. Leveraging its vast expertise in technology implementation within PRT manufacturers, this industry partner is poised to spearhead the integration of BoneOscopy’s technology into hospital settings.
The Cosylab team will be responsible for the development of the robotic structure needed for the acquisition of the prompt gamma radiation, the high-level data acquisition system and the Graphical User Interface (GUI) for scan control and system integration.
With Cosylab, BoneOscopy’s proposed science-to-technology breakthrough will have a transformative impact on current bonecancer treatment by providing a safe, personalised and quantitative measure of daily treatment efficacy, thereby contributing to the global fight against cancer!
The BoneOscopy project has received funding from the European Union’s Horizon Europe research and innovation programme under the Grant Agreement N 101185141, and for the Swiss partner from the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Innovation Council. Neither the European Union nor the granting authority can be held responsible for them.
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