Search jobs Queen Square Analytics launches to develop breakthrough imaging analysis technology for neurological clinical trials
LONDON, UK – 24 May 2021 – Queen Square Analytics, a new UCL spinout, has formally launched to apply next-generation image analysis technology to neurological clinical trials. Born out of work conducted in the university s multiple sclerosis clinical trials research office at the Queen Square Institute of Neurology and the Centre for Medical Image Computing, Queen Square Analytics will harness technology to measure the effectiveness of treatments in areas such as multiple sclerosis.
This is another marker of UCL s highly successful approach to technology transfer, taking artificial intelligence and image processing from academic research labs to direct patient benefit. Taking that technology and making it industry ready for medical imaging has taken years of pioneering data analysis and using machine learning at three UCL
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An academic-industry partnership involving Washington University School of Medicine in St. Louis and University College London has been established to investigate the role of the brain protein neurofilament light (NfL) chain in neurodegenerative diseases such as amyotrophic lateral sclerosis, Parkinson’s disease, Huntington’s disease and Alzheimer’s disease.
Clinical scientists at Washington University School of Medicine in St. Louis and University College London are collaborating with pharmaceutical companies AbbVie, Biogen, Bristol Myers Squibb and Roche to investigate the role of neurofilament light (NfL) chain in neurodegenerative diseases such as amyotrophic lateral sclerosis, Parkinson’s disease, Huntington’s disease and Alzheimer’s disease.
A new analysis of brain MRI scans of people with multiple sclerosis (MS) reveals that individual cases fall into one of three newly discovered MS subtypes.