QUantitative Imaging Biomarkers In Medicine (QUIBIM)

As an innovative company, QUIBIM is specially dedicated to medical image processing and extraction of imaging biomarkers for the medical imaging workflows. QUIBIM is spin-off of La Fe Health Research Institute in Valencia (related to La Fe Polytechnics and University Hospital). The company services are based on the development of software tools and computing techniques with medicine and health applications, and the design of new workflows for disease diagnosis and treatment evaluation using image processing techniques. QUIBIM business model is focused on providing services as a core lab for medical image analysis through QUIBIM Precision platform, a web-based infrastructure for medical images uploading and analysis.

QUIBIM has large experience in the analysis of quantitative imaging biomarkers and its integration in structured reports directly into the Picture Archiving and Communications System (PACS) or through their platform in the cloud. The company has developed and implemented innovative algorithms to analyze a wide spectrum of imaging biomarkers in different organs and pathologies. Imaging biomarkers analysis algorithms allow for the extraction of all the hidden data existing in medical images and contribute to the paradigm shift from conventional radiological reading, which is mainly qualitative, to a quantitative patient evaluation fostering the expansion of Precision Medicine. All the QUIBIM biomarkers have been validated in the clinical setting, turning into useful parametric information for the diagnosis and monitoring of the higher socioeconomic impact diseases, such as: osteoporosis, cancer, dementia, COPD and diffuse liver diseases, beside others. QUIBIM’s stepwise methodology of imaging biomarkers was adopted in 2013 in the European Society of Radiology (ESR) guidelines.

Role in ATMOSPHERE

QUIBIM's activities are mostly centred on ATMOSPHERE's use case. QUIBIM will work on the identification of requirements, the development of the image processing tasks and their integration with the platform, in cooperation with UPV, UFMG and UnB. QUIBIM will also participate in the dissemination and exploitation activities.