INSUBCONTINENT EXCLUSIVE:
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Can AI help find a cure for coronavirus?
It feels as if a
superhuman effort is needed to help ease the global pandemic killing so many.Artificial intelligence may have been hyped - but when it comes
to medicine, it already has a proven track record.So can machine learning rise to this challenge of finding a cure for this terrible
disease?There is no shortage of companies trying to solve the dilemma.Oxford-based Exscientia, the first to put an AI-discovered drug into
human trial, is trawling through 15,000 drugs held by the Scripps research institute, in California.And Healx, a Cambridge company set up by
Viagra co-inventor Dr David Brown, has repurposed its AI system developed to find drugs for rare diseases.Image copyrightGetty ImagesImage
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Any possible drug candidates will need rigorous testing in labs
The system is divided into three
parts that:trawl through all the current literature relating to the diseasestudy the DNA and structure of the virus consider the suitability
of various drugsDrug discovery has traditionally been slow
"I have been doing this for 45 years and I have got three drugs to market," Dr Brown told TheIndianSubcontinent News.But AI is proving much
faster."It has taken several weeks to gather all the data we need and we have even got new information in the last few days, so we are now
at a critical mass," Dr Brown said."The algorithms ran over Easter and we will have output for the three methods in the next seven
days."Healx hopes to turn that information into a list of drug candidates by May and is already in talks with labs to take those predictions
into clinical trials.For those working in the field of AI drug discovery, there are two options when it comes to coronavirus:find an
entirely new drug but wait a couple of years for it to be approved as safe for userepurpose existing drugsImage copyrightGetty ImagesImage
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It is likely it will be a combination of drugs that defeats coronavirus
But, Dr Brown said, it
was extremely unlikely one single drug would be the answer.And for Healx, that means detailed analysis of the eight million possible pairs
and 10.5 billion triple-drug combinations stemming from the 4,000 approved drugs on the market.Prof Ara Darzi, director of the Institute of
Global Health Innovation, at Imperial College, told TheIndianSubcontinent News: "AI remains one of our strongest paths to achieve a
perceptible solution but there is a fundamental need for high quality, large and clean data sets."To date, much of this information has been
siloed in individual companies such as big pharma or lost in the intellectual property and old lab space within universities."Now more than
ever there, is a need to unify these disparate drug discovery data sources to allow AI researchers to apply their novel machine-learning
techniques to generate new treatments for Covid-19 as soon as possible."In the US, a partnership between Northeastern University's
Barabasi Labs, Harvard Medical School, Stanford Network Science Institute and biotech start-up Schipher Medicine is also on the search for
drugs that can quickly be repurposed as Covid-19 treatments.Normally, just getting them all to work together would take "a year of
paperwork", said Schipher's chief executive Alif Saleh.But a series of Zoom calls with a "group of people with a unprecedented
determination to get things done, not to mention a lot of time of their hands", speeded things up."The last three weeks would normally take
Everyone dropped everything," he said.Already, their research has yielded surprising results, including:the suggestion the virus may invade
brain tissues, which may explain why some people lose their sense of taste or smell)the prediction it may also attack the reproductive
system of both men and womenSchipher Medicine combines AI with something it calls network medicine - a method that views a disease via the
complex interactions among molecular components."A disease phenotype is rarely due to malfunction of one gene or protein on its own - nature
is not that simple - but the result of a cascading effect in a network of interactions between several proteins," Mr Saleh said.Using
network medicine, AI and a fusion of the two has led the consortium to identify 81 potential drugs that could help."AI can do a little
better, not only looking at higher order correlations but little bits of independent information that traditional network medicine might
miss," said Prof Albert-Laszlo Barabasi.But AI alone would not have worked, they needed all three approaches
"Different tools look at different perspectives but together are very powerful" he added.Some AI companies are already claiming to have
isolated drugs that could help.BenevolentAI has identified Baricitinib, a drug already approved for the treatment of rheumatoid arthritis,
as a potential treatment to prevent the virus infecting lung cells
And it has now entered a controlled trial with the US National Institute of Allergy and Infectious Diseases.Image copyrightGetty ImagesImage
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Chinese company Alibaba claims to have developed an AI test that can accurately detect coronavirus
Meanwhile, scientists from South Korea and the US using deep learning to investigate the potential for commercially available antiviral
drugs have suggested atazanavir, used to treat Aids, could be a good candidate.Other companies are using AI for other purposes, such as
analysing scans to ease the burden on radiologists and help predict which patients are most likely to need a ventilator.Chinese technology
giant Alibaba, for example, announced an algorithm it says can diagnose cases within 20 seconds, with 96% accuracy.But some experts warn AI
systems are likely to have been trained on data about advanced infections, making them less effective at detecting early signs of the virus
There needed to be a global effort from policymakers to persuade the big pharmaceutical companies to join forces with smaller drug-data
stores, academics and research charities to pool data resources, Prof Darzi said."The time has never been more important for drug-discovery
data to open up its secrets for AI to help in the battle against Covid-19," he said.
