Early Diagnosis, Biomarkers & Neuroimaging

Early and accurate diagnosis of dementia is critical for effective treatment planning and patient care. This topic focuses on recent advances in biomarkers, including cerebrospinal fluid, blood-based, and molecular indicators, which enable clinicians to detect pathological changes in the brain before the onset of overt clinical symptoms. Cutting-edge neuroimaging techniques, such as positron emission tomography (PET) and advanced magnetic resonance imaging (MRI), will be discussed for their ability to visualize structural and functional changes associated with neurodegenerative diseases. The role of artificial intelligence and machine learning in analyzing complex imaging data will be highlighted, showing how technology can enhance diagnostic precision, predict disease progression, and support personalized medicine approaches. Attendees will explore multi-modal diagnostic strategies that integrate biomarkers, neuroimaging, and cognitive assessments to create individualized profiles for patients, allowing for timely intervention and improved outcomes. Case studies, clinical experiences, and ongoing research projects will be presented to illustrate the practical application of these diagnostic tools. The topic emphasizes the importance of collaborative approaches between researchers, clinicians, and technologists to translate laboratory discoveries into clinical practice. By understanding the latest trends and innovations in early diagnosis, participants will be better equipped to identify at-risk populations, monitor disease progression, and contribute to the development of more effective therapeutic interventions.

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