Empowering Egypt's AI & Biotechnology Scene
summary
Work on classifying neurodegenerative diseases uses an 1,000‑patient FDG‑PET dataset where each scan starts as ~1,000,000 voxels and is reduced to 58 features via PCA with ~7% reconstruction error, then fed into ML classifiers for Alzheimer’s/Parkinson’s detection. Background includes venture exposure to Egyptian startups Proteinea, AlProtein, Rology, Natrify and building a retail augmented‑generation application for generative AI research at Gulf Researcher.
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