PredictPD: Parkinson's Progression Prediction with Proteomics

This coursework explores Parkinson's Disease progression, focusing on biomarker prediction to enhance interpretability. It covers a technical roadmap, detailing data processing, ML modeling, and validation through dashboards. Current achievements include model implementation and improved prediction accuracy, with biomarker discovery planned. Key deliverables include proteomics integration, interpretability methods, and ensuring model generalization. Proposal defense feedback emphasized...