Nature | Communications
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Drug screen and machine learning predict neuroprotective agents in a preclinical human model of childhood dementia
Here authors show patient-derived neural models of childhood dementia exhibit key disease features. A drug screening platform integrating machine learning, imaging, transcriptomics and electrophysiology, identifies repurposed compounds that mitigate adverse effects.