Τα νοσοκομεία με τη μεγαλύτερη φαρμακευτική δαπάνη [πίνακας]

Dear colleagues and friends,We are pleased to welcome you to the 21st edition of the ESSKA Congress in Milan, 8-10 May, 2024. We are delighted to finally bring the Congress to Milan under the theme of Science Meets Art. This theme celebrates the rich artistic and scientific excellence that runs deep through every layer of this City and the Nation of Italy.The Congress will be packed full of innovative and educational sessions built by the ESSKA Community and delivered by a world-class international faculty. The content-rich programme will consist of scientific sessions reflecting all of ESSKA‘s specialist areas such as ACL, Meniscus, Knee Arthroplasty, Shoulder, Hip, Ankle and General Sports Medicine. The session formats will include : Highlight and Keynotes Lectures, ICLs, Symposia and Free Papers, International Partner Symposia, debates, a Residents‘ Programme, specialised workshops and more!We are looking forward to seeing you in Milan!Roland Becker, ESSKA PresidentPietro S. Randelli, ESSKA Congress PresidentMartin Lind, ESSKA Scientific Programme Chair

The ability to analyze large amounts of microscopy data is essential to modern life-science research. Indeed, the future state of bioimage analysis is progressively defined by the development and application of tools that relies on deep learning (DL) and artificial intelligence. Enabling users to understand how these tools and models can be used on their datasets is part of the challenge that the bioimage analysis community is currently facing.The goal of this course is to familiarize researchers working in the life sciences with state-of-the-art DL techniques for microscopy image analysis, including (but not exclusive to) image restoration, segmentation, translation, registration, and tracking. The course will be composed of pre-course “fundamentals”, on-site lectures, tutorials, hands-on projects, and networking activities.During the first five days participants will have the opportunity to learn about the technical aspects of deep learning and its applications. Lectures and exercises will be given by leading figures in the field of bioimage analysis, together with the support of the most promising newcomers who will join as full-time tutors.During the last four days, participants will be divided in teams supported by all instructors, with the scope of solving real analysis problems on their own microscopy data. This will ensure that participants can later use their newly acquired skills for tackling similar problems at their home institutions.In summary, participants will leave the course with a practical understanding of the power and limitations of DL, along with insights into the enabling underlying theory. The goal is to empower participants with the knowledge they need to develop their own DL-powered approaches in the context of their own research projects.