IVACE – FEDER ->MEDISCAN: Application of spectral imaging technologies for tissue characterisation and early detection of pathologies

Application of spectral imaging technologies for tissue characterisation and early detection of pathologies
2 August, 2019

Objective

The main objective of this project is to research the application of new photonic technologies and assess their capacity to detect the presence of cancer cells in human tissues. To this end, the aim is to assess, in a first phase, the differences between the spectral fingerprints of healthy cells and tumour cells. Subsequently, prototypes will be developed to support rapid diagnosis by integrating photonic sensors with scanning tools that allow patient tissue to be explored quickly and non-invasively, using external probes for the exploration of epidermal tissue and internal probes for the exploration of tissues in intracorporeal cavities (colonoscopes or endoscopes). These prototypes will be used in hospital trials in coordination with the endoscopy units of the Digestive Diseases Department of La Fe and with the Dermatology Department of the IVO.

This project aims to research, develop and assess prototypes using fast and harmless optical technologies that can be applied to the early detection of tumour diseases, with the objective of providing diagnostic tools to medical professionals that may help reduce the mortality rate thanks to faster diagnosis. To this end, the project draws on AINIA’s capabilities and experience in photonic technologies and its collaboration with research groups in the medical field from the La Fe Health Research Institute and the Valencian Institute of Oncology. This project aims to generate scientific knowledge on the capacity of photonic technologies to differentiate between healthy human tissues and human tissues affected by pathologies such as certain types of tumours. It should be noted that this project was initiated and supported by IVACE in the 2018 annual period, and this presents the second annual period.

Activities

• Design of the clinical trial and characterisation of samples and patients
• Research into the application of advanced multivariate analysis and machine learning techniques to image data collections and tissue spectra
• Assessment of the results and their transfer potential
• Dissemination of results
• Project management and coordination

Results obtained

If you would like to receive information on the project results, click here.

Dissemination/Transfer

The project dissemination actions were:

ivace feder 2014 2020

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