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MDTS and DP&IATS 2024

Events

25. Februar 2024
9:00 - 0:00

26. Februar 2024
8:25 - 17:30

27. Februar 2024
8:45 - 17:30

28. Februar 2024
8:30 - 17:30

29. Februar 2024
8:25 - 18:45

01. März 2024
8:30 - 17:30

02. März 2024
8:30 - 12:30

Teaching Centre, Level 8

Conference Room 22

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Dear Colleagues,

We cordially invite you to our sixth Molecular Diagnostics Training School 2024 to take place from 25–28 February 2024, and our fifth Digital Pathology & Image Analysis Training School from 29 February – 02 March 2024.

Established in co-operation with the Nottingham Molecular Pathology Node of the University of Nottingham, the Department of Pathology´s Molecular Diagnostics Training School and Digital Pathology & Image Analysis Training School have developed into a highly successful joint venture. This year we are granted support by the Austrian Society of Pathology (https://oegpath.at/) and the European Microscopy Society (https://www.eurmicsoc.org/en/) .

Programm

We are currently finalising the 2024 programme, but to give you an idea of what these events will offer, you can view a near final programme for the 2024 Training Schools HERE.

For this year, we have introduced – thank you for your constructive feedback – a few changes to our programme. Covering ever-increasing and rapidly evolving fields, both Training Schools have now become too short to give all the novel and exciting topics the space they deserve. We have therefore decided to cover the basics of molecular diagnostics, digital pathology and image analysis in pre-recorded lectures that provide the foundation for those of you who have little or no experience in either biological background or technical/methodological approaches. These pre-recorded lectures will be available to you before the beginning of the Training Schools and are the basis for the specialised lectures on recent developments in technological approaches as well as worked examples.

The Molecular Diagnostics Training School (MDTS) is aimed at persons who may have little experience with molecular diagnostics but also those who are looking for a refresher course or want updates on novel developments. The training school will introduce you to common concepts which underpin the tests, including the panoply of tests which are currently used in diagnostic practice. We will also discuss the importance of getting good template and of having robust quality assurance for your tests. The school will also cover new methodologies such as digital spatial profiling and it will conclude with an overview of current applied molecular diagnostics in a variety of different organ systems.

The Digital Pathology & Image Analysis Training School (DP&IATS) is aimed at both, Trainee and Consultant Pathologists and non-clinical scientists/computer experts, who may have some experience with digital pathology and platforms, but are looking to deepen their knowledge. Thus, the training school aims at bringing together histopathologists and computational scientists to foster mutual understanding and collaboration. As digital technologies are transforming histopathology diagnosis and research, the training school will outline some of the basic challenges encountered during image analysis and introduce the concepts of stereology and segmentation analysis. In view of the rapid need for integration of image analysis with molecular diagnostics development, we shall explore both the spatial reasoning of imaging and assessment of multiple biomarkers on digital platforms.

We have a world class faculty to deliver the teaching materials and to deal with any questions.

As last year, we will hold the two Training Schools as HYBRID Events, so as to give Attendees the opportunity to attend in person, to meet our excellent Speakers and ask questions or exchange ideas. After about three years with only few interactive sessions, we endeavour to bring Speakers, Attendees and Sponsors together in one place for them to share their expertise, to engage in vivid discussions, encourage audience participation and to bring in an element of personalization, in an environment of scientific excellence and professionalism. However, for those from further afar, or those who prefer – for health or any other reasons - to join us from the comfort of their offices or homes, we will provide the technology for them to attend and engage virtually.

Anmeldung

Below you will find the 2024 fees and registration forms for in-person and online attendance to the Training Schools:

IN-PERSON ATTENDANCE-MDTS 2024 Registration Fees*

Registration Deadline: 31 January 2024

Registration Form

Early Bird until 05 Jan 2024 - Regular:

500 EUR

Early Bird until 05 Jan 2024 - Discounts for:

Trainee members of ÖGPath/Division IAP

Medical students (undergraduates) / PhD students / EMS Members

370 EUR

Late registration from 06 – 31 Jan 2024

All:

 

550 EUR

* Includes coffee breaks and lunches

ONLINE ATTENDANCE - MDTS 2024 Registration Fees

Registration Deadline: 31 January 2024

Registration Form

Regular:

90 EUR/day

Discounts for:

Trainee members of ÖGPath/Division IAP

Medical students (undergraduates) / PhD students / EMS Members

50 EUR/day

IN-PERSON ATTENDANCE - DP&IATS 2024

Registration Fees*

Registration Deadline: 31 January 2024

Registration Form

All:

120 EUR

For 2024 MDTS Attendees (when booking all 3 days of the MDTS)

Free attendance

 * Includes coffee breaks and lunches

ONLINE ATTENDANCE - DP&IATS 2024 Registration Fees

Registration Deadline: 31 January 2024

Registration Form

Regular:

30 EUR/day

Discounts for:

Trainee members of ÖGPath/Division IAP

Medical students (undergraduates) / PhD students / EMS Members

20 EUR/day

For 2024 MDTS Attendees (when booking all 3 days of the MDTS)

Free attendance

Payment deadlines:  In-person / Online :  05 February 2024 

Cancellation policy/Catering/Hotels/Social Programme: Details can be viewed HERE.

 

We look forward to welcoming you to our 2024 Molecular Diagnostics Training School and Digital Pathology & Image Analysis Training School!

 

Cordially,

Univ.-Profin Drin Renate Kain, PhD

Head, Department of Pathology