Are Automation and AI the Future of Brain Scan Analysis?

RUAIRI J MACKENZIE | October 30, 2019

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After decades of development work, and trial and error and money spent, you might think that by the time your head is put inside a magnetic resonance imaging (MRI) scanner at a hospital, the difficult part of looking inside the brain is finished. But often it’s the analysis that comes after you leave the scanner that proves most challenging for physicians. The error rate for image analysis remains alarmingly high, and radiologists are being asked to handle and process larger numbers of scans every year. Can automation lend a hand? We talked to Dr. Chris Airriess, CEO at CorTechs Labs Inc., which has developed a post-processing scan software called NeuroQuant designed to streamline the analysis pipeline. We asked Chris about the current challenges in analysis, what datasets NeuroQuant would be trained on, and whether the general public will trust their medical scans to an AI.

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Larad Vaccines

Larad Vaccines was formed to develop virus-like-particle (VLP) platform technology specifically to construct vaccines and diagnostic reagents for animal diseases. The initial focus of the company will be on products for food animals. Subsequent products will focus on viral diseases in companion animals.

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