A child in a medical mask during a coronavirus pandemic.
Last week, UK Health Secretary Matt Hancock told Parliament that at least 60 municipalities recorded Covid-19 infections that had been caused by a new variant of the virus, the BBC reported. He informed MPs of a sharp, exponential rise in coronavirus infections across London, Kent, parts of Essex and Hertfordshire.
Israel’s Population and Immigration Authority on Saturday night notified all the airlines flying to Israel that non-Israelis will no longer be allowed to fly to Israel from the UK because of the new mutation. The ban includes passengers on connection flights that stop in the UK.
What we know about the new Covid-19 strain in England
Viruses mutate all the time and coronaviruses less so than some others, such as the ones that cause influenza
(REUTERS)
Stephen Fidler
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Scientists are hurrying to understand why a new strain of the coronavirus that emerged in England in September appears to be spreading far more rapidly than earlier variants.
The early conclusion, according to British scientists, is that the virus has mutated to change the so-called spike protein on the surface of the virus, increasing the protein’s ability to cling onto and enter human cells. These changes allow the mutation, known as N501Y, to spread 70% faster than earlier versions of the virus, early analysis suggests.
Global Deep Learning in Medical Image Processing Market to 2030 with IBM, GE Healthcare and Google Entering into Strategic Alliances with Big Pharma Players
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The Deep Learning Market: Focus on Medical Image Processing, 2020-2030 report features an extensive study on the current market landscape offering an informed opinion on the likely adoption of such solutions over the next decade. The study presents an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this domain.
One of the key objectives of this report was to estimate the existing market size and the future growth potential within the deep learning market (medical image processing segment), such as global radiology spending across countries, number of radiologists employed across different regions of globe, annual salary of radiologists, rate of adoption of deep learning-based solutions, we have d