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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New Consensus Report Recommends Individualized Eating Plan to Meet Each Person’s Goals, Life Circumstances and Health Status in diabetes

Personalized nutrition plans, nutrition for optimal weight management, and the prevention and management of diabetes complications including cardiovascular and kidney disease and gastroparesis, are detailed in the new guidance document, Nutrition Therapy for Adults with Diabetes or Prediabetes: A Consensus Report (Consensus Report), produced by a panel of experts assembled by the American Diabetes Association (ADA). The Consensus

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USC-led advance in groundbreaking cancer treatment eliminates severe side effects

An advance in the groundbreaking cancer treatment known as CAR T-cell therapy appears to eliminate its severe side effects, making the treatment safer and potentially available in outpatient settings, a new USC study shows. “This is a major improvement,” said Si-Yi Chen of the USC Norris Comprehensive Cancer Center, professor in the Department of Molecular Microbiology

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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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Stem cells show promise for acute-on-chronic liver failure

 Promethera Biosciences SA, a global innovator in cell-based medicines and liver diseases, today announced clinical data from the ongoing phase 2a study of its lead product candidate HepaStem® in patients with Acute-on-Chronic Liver Failure (ACLF) or acute decompensation (AD) at high risk of developing ACLF. The data was presented in an oral presentation during 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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