Artificial Intelligence Supported Identification of Novel Non-invasive Biomarkers of Aging
The initial recruitment of the patinets for the AI-Age project is finalized. It was conducted in the primary health care clinics of the Podgorica, the capital of Montenegro. We aim to compare the populations of Great Britain and Montenegro in terms of multimorbidity and frailty status, taking into account differences in economic status and life expectancy (80.7 years in the UK, 76.3 in Montenegro).
AI-AGE team participated in presenations during the implementation of the “Awakening the vision at UDG 2024”. We gave several presentations and workshops relevant to the AI and need to understend and adopt the AI in everyday’s life and workflow. Please check out the video about the event that engaged about 1000 new students enrolled in the first year of studies at UDG.
Isidora Rubežić – Lukić, MD, will publicly present the goals and expected results, as well as present the research program with the conditions for the successful completion of the doctoral thesis entitled: “Methods for the assessment of biological age and their correlation with morbidity and frailty syndrome”. This preliminary defense will take place in the Meetin Room, Faculty of Medicine, before the Committee for the Evaluation of Doctoral Dissertation Applications, consisting of:
