Academia and Industry Collaboration for Digital Pathology


Advances in digital pathology are generating huge volumes of whole slide and tissue microarray images which are providing new insights into the causes of some of today’s most devastating diseases. They also present tremendous opportunities for developing and evaluating new and more effective treatments that may revolutionize the care of patients.

The challenge is to exploit the new and emerging digital pathology technologies effectively in order to process and model all the data. This requires joint research projects and collaborative programmes between academia and industry. Thus, biomedical scientists will be equipped with broad knowledge and processing tools, whereas engineers will have an understanding of the disease processes and the clinical needs.

This will help developing efficient and innovative products to fulfil the needs of digital pathology. AIDPATH will research and develop: medical image display technology for digital pathology; novel image analysis solutions for future pathology diagnosis and solutions for biomarker evaluation and quantification. Thus four technical work packages (WP) are defined:

  • WP1: Optimizing, calibrating and standardizing digital pathology image display.
  • WP2: Advances image analysis for whole slide images.
  • WP3: Evaluation and quantification of biomarkers.
  • WP4: Clinical evaluation of the processing tools.

The AIDPATH project addresses this challenge through a focused research, including research training aiming to knowledge sharing and career development in this emerging multidisciplinary field. To this end a series of activities including networking, workshops, summer schools and conferences will be done, together with new 11 recruitments.

uclm LOGO ASTRAZANECA tissue barco
leica degli nottingham umfpopa
sescam andaluz vilniaus loughborough
 european union