Deep-learning-based screening platform in aging-relevant human cells
exploratoryModel and identify disease-modifying targets and pathways for ALS and age-related disease using age-relevant human cellular models.
Directly reprogrammed human neurons combined with deep learning image analysis to screen compounds and classify ALS-like phenotypic signatures.
2023 bioRxiv publication describing the platform and identifying NCB-0846 as a compound that reverted ALS-like phenotypes.
The platform identified NCB-0846, a TNIK/MAP4K7 inhibitor, and chronic dosing in the SOD1G93A mouse model of ALS significantly reduced serum neurofilament-L levels.