Academia and Industry

Collaboration for Digital

Pathology

Gloria BuenoE.T.S.I. Industriales - UCLM

http://visilab.etsii.uclm.es

AIDPATH

Digital PathologyEuroTelepathCOST Action Project

Partners Sector Country1. UNIVERSIDAD DE CASTILLA-LA

MANCHAPublic SPAIN

2. ASTRAZENECA UK LIMITED Commercial UK

3. BARCO NV Commercial BELGIUM

4. TISSUEGNOSTICS GMBH Commercial AUSTRIA

5. LEICA MICROSYSTEMS CMS GMBH

Commercial IRELAND GERMANY

6. UNIVERSITA DEGLI STUDI DI UDINE

Public ITALY

7. UNIVERSITATEA DE MEDICINA SI FARMACIE GR.T.POPA IASI

Public ROMANIA

8. THE UNIVERSITY OF NOTTINGHAM

Public UK

9. SERVICIO DE SALUD DE CASTILLA LA MANCHA

Public SPAIN

10. VIESOJI ISTAIGA VILNIAUS UNIVERSITETO LIGONINES SANTARISKIU KLINIKOS

Public LITHUANIA

11. LOUGHBOROUGH UNIVERSITY Public UK

Partners

Transfer of Knowledge

The AIDPATH Supervisory Board takes overall charge of the researcher’s personal career development (PCD), knowledge transfer and training needs and activities.

Inter-host Secondments & Training Programs

Implementation WPNo

Work package title Type of activity

Start-Endmonth

WP1 Optimizing, calibrating and standardizing digital path. image display

RTD, ToK M1-M46

WP2 Advanced image analysis for whole slide images

RTD, ToK M1-M46

WP3 Evaluation and quantification of biomarkers RTD, ToK M1-M46

WP4 Clinical evaluation of the processing tools RTD, ToK M1-M48

WP5 Training Activities TR M1-M46

WP6 Dissemination, Exploitation and Outreach DISS M1-M48

WP7 Project Coordination and Management MNG M1-M48

Activity: RTD (for Research & Technological Development), TR (Training), ToK (for Transfer of Knowledge), DISS (for dissemination/outreach activities), MNG (for management).

Implementation WP Work package title Activity Start-End

WP1 Optimizing, calibrating and standardizing digital pathology image display

RTD, ToK M1-M46

[Leaders: BAR, UNOTT. Other Participants: LEICA, UCLM, LU.

• Goals: To research and develop novel medical image display technology and standards for digital pathology which may include:

•WP1.1: Low-latency fast multi-scale display of very large images. •WP1.2: Automatic optimizing and calibrating display to viewing environments. •WP1.3: Automatic calibrating display to specific specimens and staining.•WP1.4: Automatic regions of interest visualization. •WP1.5: Image quality assessment.

Implementation WP Work package title Activity Start-End

WP2 Advanced image analysis for whole slide images

RTD, ToK M1-M46

[Leaders: TG, UCLM. Other Participants: LEICA, UNOTT, LU.

• Goals: This work package will research and develop advanced image analysis algorithms and tools for WSI. The algorithms and tools will be tailored to the following problems:

•WP2.1: In-situ cytometry for whole slide imaging. •WP2.2: From content-based image retrieval (CBIR) to example-based image diagnosis (EBID). •WP2.3: Multispectral imaging and nanotechnology for protein expression quantification and multiplexed detection of biomarkers.

Implementation WP Work package title Activity Start-End

WP3 Evaluation and quantification of biomarkers RTD, ToK M1-M46

[Leaders: AZ, UMF. Other Participants: UCLM, UNOTT, UNIUD.

• Goals: To research and develop new methodologies, algorithms, techniques, and software tools for the evaluation and quantification of biomarkers. Reliable and consistent quantification of biomarkers for different diseases is critically important in developing a systems approach to pathology. Promising subject areas for specific research projects include:

•WP3.1: Advanced TMA processing and analysis. •WP3.2: Biomarker evaluation and quantification for specific diseases.

Implementation WP Work package title Activity Start-End

WP4 Clinical evaluation of the processing tools RTD, ToK M1-M48

[Leaders: SESCAM, UNIUD. Other Participants: VUHSK, UCLM, UNOTT.

Goals: : To evaluate the clinical usefulness of the new AIDPATH’s developments and outcomes to ensure the development of future systems pathology. One possible approach is through a telepathology platform where pathologists from different locations can help evaluate the diagnosis accuracy and clinical usefulness of image analysis tools and algorithms. telepathology techniques. Thus, this WP will include:

•WP4.1: Analysis of telepathology platform for digital pathology. •WP4.2: Functional test definition.•WP4.3: Database collection. •WP4.4: Evaluation of nanotechnology and multi-spectral imaging capabilities.

Implementation WP Work package title Activity Start-End

WP5 Training Activities RTD, ToK M1-M48

[Leaders: UNOTT, LU. Other Participants: Alls.

The objective of this WP is to undertake training as an integral part of project RTD processes to assist all partner organisations and their professionals to profit from the expertise of participants and to contribute to their continuing development. The particular objectives are:O.5.1. Implementation of individual host trainingO.5.2. Implementation of multi- host training

Main Training Events and Conferences WP MonthsSummer School All AnnuallyScientific Knowledge Training All AnnuallyPrivate Sector Led Workshop All AnnuallyWorkshops & Conference Special Sessions All AnnuallyEnd of Program Conference All 46

Secondments Newly Recruited Researchers

ERS ER(<10 years)

ER( >10 years)

ER(<10 years)

ER(>10 years)

Participant Name

Total Researc

her-months

Researchers

Total Researcher-mont

hs

Researchers

Total Researcher-

months

Researchers

Total Researcher-

months

Researchers

Total Researcher-month

s

Researchers

UCLM 0 0 8 3 4 2 12 1 0 0AZ 20 5 12 4 15 5 24 1 0 0BAR 18 4 4 2 8 4 24 1 0 0TG 18 4 9 4 8 4 24 1 0 0LEICA 4 2 0 0 6 3 12 1 0 0UNIUD 0 0 2 1 3 1 12 1 0 0UMF 0 0 2 1 2 1 12 1 0 0UNOTT 0 0 8 3 2 1 12 1 0 0SESCAM 0 0 2 1 6 3 12 1 0 0VUHSK 0 0 2 1 6 3 12 1 0 0LU 0 0 6 3 0 0 12 1 0 0

Total 60 15 55 23 60 27 168 11 0 0

76 researchers.

Implementation WP Work package title Activity Start-End

WP6 Dissemination, Exploitation and Outreach DISS M1-M48

[Leaders: VUHSK, LEICA. Other Participants: Alls.

Objectives

O.6.1. To organize and implement efficient communications inside and outside the consortium. They should enhance the internal synergies and provide added value by allowing information flow to/from other projects and the general public as well as within the AIDPATH.O.6.2. To implement actions oriented towards a possible exploitation of the outcome. O.6.3. To implement actions for outreach activities, in order to create awareness among the general public and students about the research work performed in the Marie Curie Actions.

• The challenge is to exploit the new and emerging digital pathology technologies effectively in order to process and model all the heterogeneous tissue-derived data.

• This requires joint research projects and collaborative programmes between academia and industry. Thus, biomedical scientists will be equipped with broad knowledge and tools of modern imaging and data processing, whereas engineers with have an understanding of the complex disease processes and the clinical needs.

• This will help developing efficient and innovative products to fulfil the needs of digital pathology. The AIDPATH project addresses this challenge.

Conclusion

Thank you for your attention