Imagine being able to diagnose a brain tumor in minutes instead of hours—artificial intelligence could make that a reality, according to a new study.

A new study published in the international journal Nature by researchers from the Oncode Institute, Center for Molecular Medicine, Princess Máxima Center for Pediatric Oncology, and the Department of Neurosurgery at Amsterdam University Medical Centers on Wednesday introduces a new AI-fueled concept aimed at changing how surgeons approach the diagnosis and removal of tumors.

Sturgeon is a neural network AI model that uses nanopore sequencing to quickly diagnose central nervous system (CNS) tumors. A neural network refers to a technology designed to mimic the activities of the human brain and uses algorithms to recognize patterns in that activity. The researchers highlighted the tradition of naming nanopore software after fish—and because it sounded like “surgeon.”

A central nervous system tumor is an abnormal growth of cells within the brain or spinal cord. According to the American Society of Clinical Oncology, a CNS tumor can be benign, malignant, or cancerous, the last of which can grow fast and spread to other body parts. Whatever the status, the ASCO says it requires medical attention, as such tumors “represent one of the most lethal cancer types,

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Author: Jason Nelson

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