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.
主辦單位：智慧運算學院、人工智慧研究中心
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