Rady Team Automates Rapid Pediatric Sequence Interpretation for Rare Disease Dx

Investigators at the Rady Children’s Institute for Genomic Medicine (RCIGM) in San Diego have updated their pediatric sequencing program for diagnosing rare diseases, incorporating machine learning methods to generate, analyze, and interpret genetic data and get those insights to clinicians more quickly. “By harnessing the power of technology, we can quickly and accurately determine the

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A machine learning device, meant to monitor the chronically ill, moves into homes

A wearable device that uses machine learning to remotely track and analyze multiple vital signs has been cleared by the Food and Drug Administration, expanding the scope of home monitoring systems intended to keep chronically ill patients out of the hospital. Current Health, based in Edinburgh, Scotland, announced Wednesday it received clearance for an upper-arm

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Synthetic Speech Generated from Brain Recordings

A state-of-the-art brain-machine interface created by UC San Francisco neuroscientists can generate natural-sounding synthetic speech by using brain activity to control a virtual vocal tract – an anatomically detailed computer simulation including the lips, jaw, tongue and larynx. The study was conducted in research participants with intact speech, but the technology could one day restore the

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Machine learning in medicine

The field of medicine has so far relied heavily on heuristic approaches, whereby knowledge is acquired through experience and self-learning, which is imperative in the highly variable healthcare environment. The increase in knowledge and understanding of diseases has been associated with the growth in information and data partly thanks to advances in tools that generate

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