Max Haberbusch received a prize of 15,000 US dollars at this year’s "SPARC FAIR Codeathon". The award underlines the importance of a development by the postdoc at MedUni Vienna’s Center for Medical Physics and Biomedical Engineering for biomedical research.
The event, funded by the National Institute of Health (NIH) in the USA, brought together participants from all’over the world to work on innovative biomedical and neuroscience projects. The focus of the "2024 SPARC FAIR Codeathon" was on improving the "FAIRness" (Findability, Accessibility, Interoperability, Reusability) of digital research resources.
Max Haberbusch from MedUni Vienna’s Center for Medical Physics and Biomedical Engineering and his team developed "SPARC.RL" for this purpose. This is a user-friendly toolchain that aims to make the application of reinforcement learning in the control of medical devices more accessible for biomedical research. Max Haberbusch was awarded one of the two main prizes of 15,000 US dollars for this development. "This recognition is a great acknowledgement of our work and shows the potential that reinforcement learning offers in the control of medical devices," says Max Haberbusch. "We have succeeded in making complex technologies more accessible and thus opening the door to new applications in the medical field."
