Cross-project collaboration – Page 3

29.11.2024.10.03.2025.

Exciting Collaboration Alert: Advancing AI and Retinal Imaging Research!

We are thrilled to announce a new collaboration between the Faculty of Medicine, Univiersity of Montenegro and Faculty for Information Systems and Technologies at the University of Donja Gorica. This partnership opens the doors for selected researchers from UDG to access UK Biobank data, enabling them to bring their expertise in data analysis and artificial intelligence to the forefront of cutting-edge medical research. Learn more at [link]

New Collaboration Unlocks the Power of AI and Retinal Imaging to Advance Research on Dementia and Cancer

🔍 What’s the Goal?
The primary objective of this collaboration is to develop an innovative algorithm that compares microvascular complexity across three groups:

Individuals with colorectal carcinoma
Those with Alzheimer’s disease
A control group of healthy individuals

✨ Why It Matters:
This partnership exemplifies the transformative potential of combining retinal imaging with AI-powered analysis. Together, we are uncovering critical links between diseases and pushing the boundaries of early detection and treatment strategies for complex conditions like dementia and cancer.

🌍 A Global Effort:
By merging international resources, state-of-the-art technology, and interdisciplinary expertise, we are taking bold steps toward improving healthcare outcomes for patients worldwide.

💡 Together, we are shaping the future of personalized medicine and driving innovation in healthcare. Stay tuned for updates on this exciting journey!

01.11.2024.21.01.2025.

Advancing Medical Research with UK Biobank and Retinal Biomarkers

The UK Biobank is a world-renowned resource, housing comprehensive health and genetic data from over 500,000 participants. This invaluable platform is revolutionizing medical research by providing researchers access to detailed medical, lifestyle, and imaging data, driving breakthroughs in understanding and treating diseases like cancer, dementia, and other chronic illnesses.

🌟 Key Project Highlight:
One of the pivotal research initiatives, “Exploring the Link Between Dementia and Cancer: Retinal Biomarkers as Predictors of Colon Cancer and Dementia”, is uncovering how retinal biomarkers can serve as early predictors for both colorectal carcinoma and Alzheimer’s disease. By analyzing microvascular complexity in retinal fundus images, this project seeks to identify patterns that could enhance early diagnosis and patient care. Learn more at [link]

✨ Inspired by the RECOGNISED Project:
This initiative builds on insights from the EU-funded RECOGNISED project, which explores the connection between retinal health, cognitive dysfunction, and the risk of dementia in individuals with type 2 diabetes. RECOGNISED has demonstrated the immense potential of retinal imaging as a tool to understand and address chronic diseases. More on RECOGNISED project at [link]

Together, these projects exemplify how innovative approaches and global collaboration can transform healthcare by addressing pressing challenges and improving early detection strategies.

💡 Retinal biomarkers are unlocking new possibilities in personalized medicine and preventive care—advancing our fight against complex diseases.

11.10.2024.12.03.2025.

In-house HPC infrastructure update

As planned, our project AI-AGE is advancing high-performance computing (HPC) infrastructure to support AI-driven research on biomarkers of aging in medical applications. This initiative will empower our team with cutting-edge resources, allowing us to enhance our capacity for data analysis and predictive modeling. To meet the demands of sophisticated AI computations, with the support of AI-AGE, we are upgrading our existing HPC setup with a powerful computing node. This new addition includes a rack computing node equipped with a 48 CPU cores with 128GB RAM, NVIDIA L40 48GB GPUs, and 2x480GB internal SSDs. In addition, the project supported NAS storage of 24TB (multiple disks with RAID) dedicated for dataset management. This infrastructure enhancement is designed to integrate smoothly with our existing equipment, augmenting both our computational and storage capabilities while providing significant value for our investment.

New computing infrastructure supported by the AI-AGE project as planned

AI-AGE project, supported by the Ministry of education, science and innovation, is implemendet through collaboration between Faculty for information systems and technologies at Uiversity of Donja Gorica, and Faculty of medicine at University of Montenegro. The in-house HPC infrastructure is a result of cross-project collaboration with HPC4S3ME project (IPA programme) and both of these project are done with the support from EUROCC NCC Montenegro. The main goal for the in-house lab is for researchers to gain a hands on experience with physical equipment a their disposal, while for larger computing tasks, we will apply for computing time on some of the EU supercomputers.