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AI startup Faculty wins contract to predict future requirements for the UK's NHS – TechCrunch


AI startup Faculty wins contract to predict future requirements for the UK’s NHS
Faculty, a VC-backed artificial intelligence start-up, has won a tender to work with the NHS to make better predictions about its future requirements for patients, based on data drawn from how it handled the COVID-19 pandemic.
In December 2019, Faculty raised a $10.5M Series A funding round from UK-based VCs Local Globe, GMG Ventures, and, Jaan Tallinn, one of Skype’s founding engineers, giving it a valuation of around $100 million.
Faculty will work with NHS England and NHS Improvement to build upon the Early Warning System (EWS) it developed for the service, during the pandemic. Based on Bayesian hierarchical modeling, Faculty says the EWS uses aggregate data (for example, COVID-19 positive case numbers, 111 calls, and mobility data) to warn hospitals about potential spikes in cases so they can divert staff, beds, and equipment needed. This learning will now be applied across the who ....

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AI database used to improve treatment of UK COVID-19 patients


02:15 AM
NHSX has pioneered an anonymous bank of over 40,000 scans collected over the course of the pandemic. The National COVID-19 Chest Imaging Database (NCCID) collects X-Rays, CT and MRI scans to speed up diagnosis of the disease, enabling clinicians to implement treatment plans faster and more effectively as well as allowing them to predict more accurately which patients may end up in a critical condition.
Established in April 2020 with the British Society of Thoracic Imaging (BSTI), Royal Surrey NHS Foundation Trust and AI specialists Faculty, the NCCID provides a more comprehensive understanding of COVID-19, collating data from 20 NHS trusts across the country to detect disease patterns and markers of the virus, which, in turn, enable more accurate early diagnoses and prognoses and inform new treatments. This information, which is stripped of any patient identifying information, is also used to inform algorithms used in hospitals and universities to treat and monito ....

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