演講主題：How to Know Earlier? Using Machine Learning to Identify the Risk of Disease Development - the Case of Glaucomatous Neuropathy

講者: Dr. Cezary Mazurek 波茲南超級電腦與網路中心

時間: 2025/12/16 (二) 11:00-12:00

講者簡介:
Dr. Cezary Mazurek, Computer Scientist, his professional activity has been associated with the development of the Poznan Supercomputing and Networking Center (PCSS) since its establishment in 1993. He served as CEO of PCSS from 2019 to 2024 and at that time he successfully brought it onto the path of developing infrastructure and applications of quantum computing and AI, and is now continuing this thread with a focus on applications in Life Sciences and Personalized Medicine. For over 30 years, he has been involved in the development of Polish and European e-infrastructure for science and is currently one of the most experienced leaders in R&D projects, many of which he has successfully implemented in practice. To date, he has led development of more than 40 national and international R&D projects. His R&D work has focused on integrating various specialized software components into consistent systems for digital science with emphasis on software governance. In recent years, he has been involved in the development of domain research infrastructures, such as for digital humanities, as well as for personalized medicine.

Cezary’s scientific activities mainly focus on applying machine learning methods for early detection of disease development mechanisms. A solution led by him to support pre-symptomatic diagnosis of glaucoma development using machine learning received patent protection from the Japan Patent Office in 2023 and from European Patent Office in 2025. He is currently extending his interests to advanced methods of data collection and analysis in a digital twin model. He is author or co-author of over 100 papers in professional journals and conference proceedings. Since 2020 the President of Wielkopolska ICT Cluster. Since 2023 the member of GÉANT Association Board of Directors. In 2024 he initiated the establishment of a national consortium EBRAINS-PL and became the member of EBRAINS National Node Board. IEEE Senior Member, member of IEEE Computer Society as well as IEEE Computational Intelligence Society.

演講大綱: In recent years, there has been a significant increase in the number of studies on the role of artificial/assisted intelligence in the diagnosis of eye diseases. Scientific work in this field is mainly based on the analysis of imaging examinations. However, the development of diseases is very often caused by functional disorders that remain hidden for many years and are not immediately visible in the form of clinical symptoms. An example of such diseases is glaucomatous neuropathy. Since 2014, we have been working in a transdisciplinary team on intelligent decision support technology in the functional diagnosis and treatment of glaucomatous neuropathy. The functionality of the developed software platform is based on the assessment of non-intraocular-pressure risk factors in the development of glaucomatous neuropathy, enabling glaucoma specialists to be supported in the recognition, quantification, and differential diagnosis of glaucomatous neuropathy. The developed system, based on a predictive model, enables the identification of individuals with ocular hypertension at significantly high risk of conversion to primary open-angle glaucoma, as well as the assessment of the effectiveness of glaucoma therapy. The solution has been patented in Japan and Europe.

The above example shall also help to present the latest trends in our research work on neurodegenerative diseases and brain health initiated around the EBRAINS research infrastructure, artificial intelligence, and quantum computing technology.