Predicting Pediatric Neurological Disorders with Machine Learning

Machine learning is advancing the prediction of pediatric neurological disorders by analyzing large datasets to identify early warning signs and risk factors. By uncovering patterns in genetic, clinical, and environmental data, AI can forecast conditions like autism, ADHD, and neurodegenerative diseases. This session will explore how machine learning is transforming early diagnosis, enabling proactive interventions and personalized treatment plans for better long-term outcomes in children.
 

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