PhD Student
gian.angelini@hotmail.com
Gianfrancesco Angelini holds a B.E. in Chemical Engineering from the University of Calabria and an M.E. in Neuroengineering and Bio-ICT from the University of Genoa.
He has completed internships and training in artificial intelligence and has worked as a Data Scientist, Data Engineer, DevOps, and Python Software Developer.
In 2022, he joined the National Doctoral Program in AI, focusing on second- and third-generation neural networks and exploring autonomous agents, sentient agents, and knowledge extraction from big data.
Sex differences affect Parkinson's disease (PD) development and manifestation. Yet, current PD identification and treatments underuse these distinctions. Sex-focused PD literature often prioritizes prevalence rates over feature importance analysis. However, underlying aspects could make a feature significant for predicting PD, despite its score. Interactions between features require consideration, as do distinctions between scoring disparities and actual feature importance. For instance, a...
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