Regular biography
Vesna Sossi is a researcher with a focus on medical imaging, particularly in the areas of positron emission tomography (PET) and its applications in neurodegenerative diseases such as Parkinson's disease. Her work involves developing advanced imaging techniques, including dynamic PET image reconstruction, denoising methods, and the use of machine learning for analyzing neuroimaging data. She has contributed to the understanding of neurotransmitter dynamics, the serotonergic system's impact on Parkinson's disease, and the potential of PET for predicting clinical outcomes. Her research also includes the development of novel radiotracers and the application of data-driven methods to improve the sensitivity and specificity of PET imaging. Sossi has published extensively in top-tier journals and has been involved in various clinical studies aimed at improving diagnostic and therapeutic approaches for neurological disorders.