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Tue, May 18, 2021 2:00 PM – 3:00 PM CEST

The joint ESB-VPHi webinar takes place on 18 May 2021 featuring Simo Saarakkala from University of Oulu, Finland. Osteoarthritis is the most common joint disease in the world. It can occur in any joint, but it is the most common in hand, knee, hip and spine. Osteoarthritis is a whole joint disease affecting simultaneously several joint tissues, i.e. articular cartilage, subchondral bone, meniscus, synovium, ligaments and tendons. The typical primary signs of osteoarthritis progression are degeneration and wear of articular cartilage along with pathological remodeling of the subchondral bone. During the last decades, we have seen the rapid development of different imaging modalities and digital image analysis methods both at the laboratory level, i.e. tissue and cell level, and at the clinical level. This development has allowed both researchers and clinicians to better understand the initiation and progression of osteoarthritis. Specifically, machine learning based approaches for image analysis have become more common and promising during the recent few years. In this talk, the role of several imaging modalities in osteoarthritis research and clinical diagnostics – along with advanced image analysis methods – will be introduced. From the laboratory imaging methods, we will focus micro-computed tomography (micro-CT), Fourier-transform infrared imaging (FTIRI), Raman microscopic imaging, and polarized light microscopy (PLM). From the clinical imaging methods, we will focus on conventional radiography (X-ray) and the potential of advanced image analysis and deep learning algorithms to mine new diagnostic and prognostic information from them. Finally, the future prospects of clinical prediction models, combining imaging data and clinical information, will be discussed.

To register, click here:

https://register.gotowebinar.com/register/8752150354203399436

The next ESB webinar, on April 22^nd, 2021– 17:00 – 18:00 CEST, is targeted towards individuals interested in agent-based computer modeling approaches to simulate biological processes. In particular, the webinar aims at:

• Introducing participants to the basics of agent-based modeling
• Providing examples of their application to investigate clinical-related problems.

By the end of the webinar, attendees will learn the basic principles to build an agent-based model including how to:

• Simulate individual agents
• Specify agent properties
• Define agent behavior and interactions
• Analyze and visualize model predictions

The webinar will be conducted by Prof. Sara Checa. She is a Junior Professor at the Julius Wolff Institute, Charite-Universitaetsmedizin Berlin, where she leads the research group of “Computational Mechanobiology”. She holds a guest researcher position at the Technical University Berlin as well. She is an expert on computational mechanobiology applied to tissue regeneration and adaptation and has a profound expertise on the development of agent-based computer models to investigate clinical-related questions. She completed her PhD at the University of Southampton and conducted post-doctoral research at the Trinity Center for Bioengineering in Ireland, at Stanford University in the USA and then at the Julius Wolff Institute, where she stayed first as a group leader and now as Professor.

The seminar will last 45 minutes and will be followed by 15 minutes of Q/A from the audience. You will have the chance to ask your questions which will be addressed by the speaker at the end of the webinar. However, it would be great if you could send your question in advance while filling the registration form or by sending to Ehsan.soodmand@stryker.com and/or rodrigo.romarowski@unipv.it  before the webinar.

Click https://attendee.gotowebinar.com/register/4993238957232003344 to register for the webinar.

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Looking forward to your attendance.

ESB Student Committee