Image analysis has become an indispensable tool in research and development. It plays a crucial role in improving the diagnosis, treatment, and understanding of diseases, as well as in the development of new medical treatments, such as cancer, neurological and cardiovascular diseases.

The startup s vast expertise in radiotherapy, physics, computer science, deep learning and medical image analysis have laid the foundation for the platform that they have developed. In the plattform users can create image processing workflows and conduct complex analyses within an integrated development environment, without the need for deep programming skills. The platform facilitates the work process, stimulates creativity, and increases efficiency by delivering tailored results based on the user s specific requirements, whether for further analyses or formal research presentations.

With their solution, more R and D professionals (and even students) can perform complex image analyses, contributing to the democratization of medical research and more scientific advancements in a shorter time, ultimately improving global health. The tool can be found in several scientific publications as evidence of this.

Even if the platform today contains hundreds of features the platform is built of collaboration with the possibility to import external applications for specific analysis. They are now looking for R and D professionals from medical universities and hospitals for partnership on development of medical imaging applications that can bring added value to the global research community. As such they are interested in collaboration opportunities in the fields of radiology, radiotherapy, pathology, neuroimaging, fMRI, health-omics, data processing and other medical image analysis related fields.

They collaborate with several academic partners today and their development process is built around these partnerships to ensure they create relevant and user-centric applications for medical imaging researchers.

The startup brings cutting edge skills in machine learning, software development, image processing, image analysis, CT/MR/PET physics and medical physics. The entire team have 10+ years of working in these sciences - some still have senior roles in both academy and clinical settings. As such they are more than prepared to discuss several roles in specific R and D projects where they ideally want to create long term partnerships.
Advantages and innovation
The plattform:
+ Visual-programing (no-code)
+ Hundreds of standardized and scientifically validated implementations (e.g., ITK, VTK, Tensorflow, PyTorch) in one environment.
+ Batch Processing with multi parameter data selection
+ Import code and AI (drag’n’drop)
+ Combining ready-made analyses with custom code and external libraries increases efficiency and creativity.

R and D Partnership:
+ Helps researchers and their organizations to bring specific applications to the platform s growing global user base.
+ Helps researchers to secure their own and joint developed applications to stay in a united development and analysis environment over time.
+ Opportunities for joint Horizon Europe and other research project funding.
Technical Specification or Expertise Sought
R and D-professionals from universities, hospitals and healthtech companies involved in medical imaging analysis, such as radiology, radiotherapy, pathology, neuroimaging, fMRI, health-omics, data processing and other medical image analysis related fields.