AI offers answers to COVID’s effects
Artificial intelligence has been used to identify metabolic markers of Covid, a discovery which could lead to better understanding and treatments for people that suffer from symptoms months after diagnosis.
Scientists from Surrey University collected blood samples of hospital patients and found that Covid-19 changed people's metabolism. The team observed that the effects of Covid-19 changed over time, with the first wave disrupting metabolites differently from the second. Thei findings are published in Metabolites.
Many patients' metabolites eased back to normal levels once they had recovered from Covid-19, but a small number continued to be disrupted for several months after infection.
In a statement, Dr Holly-May Lewis, lead author of the study from Surrey University, said: "It is thought that around two million people suffer symptoms of Covid-19 a month after infection, and 800,000 people still experience symptoms a year later. So, it's clear that this virus will be with us for some time and, therefore, the scientific community is duty-bound to better understand Covid-19 and why, for some, symptoms seem to linger longer than average."
Register now to continue reading
Thanks for visiting The Engineer. You’ve now reached your monthly limit of news stories. Register for free to unlock unlimited access to all of our news coverage, as well as premium content including opinion, in-depth features and special reports.
Benefits of registering
-
In-depth insights and coverage of key emerging trends
-
Unrestricted access to special reports throughout the year
-
Daily technology news delivered straight to your inbox
Experts speculate over cause of Iberian power outages
I´m sure politicians will be thumping tables and demanding answers - while Professor Bell, as reported above, says ´wait for detailed professional...