Nature

Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)

Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology. This has led to a growing interest in using brain-based biomarkers to capture ...
Nature

Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology

Neuroblastoma is a neuroblastic tumor (NT) and the most common extracranial pediatric solid tumor, affecting nearly 800 children in the United States annually 1. To select optimal treatment strategies ...