Deep learning algorithm identifies tumor subtypes based on routine histological images

Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types. The findings were published July 27 in Nature Cancer.

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Pediatric sedation program helps ease patients’ anxiety – and improve hospital workflow

Pediatric sedation service at the University of Chicago Medicine Comer Children’s Hospital provides a critical bridge for children undergoing medical procedures. It’s one of only nine programs in the United States to be designated a Center of Excellence by the Society of Pediatric Sedation.

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