NeuroShield.ai
Ongoing machine-learning research project exploring Alzheimer's early detection through multimodal MRI neuroimaging analysis. Research contributions by Antonius Jairus.
The Challenge & Problem
Early diagnosis of neurodegenerative diseases such as Alzheimer's remains a critical challenge due to subtle morphological shifts in brain MRI scans that can precede clinical symptom onset by years.
Engineering & Architecture
Conducted within a collaborative multi-disciplinary research team. Utilizes structural magnetic resonance imaging (sMRI) datasets from ADNI (Alzheimer’s Disease Neuroimaging Initiative) to train deep convolutional neural architectures for predictive structural classification.
Core Capabilities
- Comparative evaluation of 3D CNN architectures on volumetric brain MRI scans
- Feature attribution maps highlighting hippocampal volume atrophy patterns
- Rigorous evaluation benchmarks distinguishing Cognitively Normal (CN) from Mild Cognitive Impairment (MCI)
- Scientific research documentation and evidence visualization pipeline