Machine learning-based image analysis of Parkinson's disease iPS-derived neurons predicts genotype and reveals mitochondria-lysosome abnormalities
Yan Li, Maximilian Powell, Jessica Chedid, Ratneswary Sutharsan, Adahir Labrador‐Garrido, Kwaku Dad Abu-Bonsrah, Chiara Pavan, Tyra D. Fraser, Dmitry A. Ovchinnikov, Melanie Zhong, Ryan L. Davis, Dario Strbenac, Jennifer A. Johnston, Lachlan H. Thompson, Deniz Kirik, , Gautam Wali
The paper uses machine learning to analyze neuronal morphology in Parkinson's disease iPSC-derived neurons, identifying genotype-specific mitochondrial and lysosomal abnormalities.
bioRxiv · Jan 29, 2026 · PreprintNeuroscience