Use Of Artificial Intelligence to Counter COVID-19 Spread
It seems like extraordinary help is needed to overcome the global outbreak of the Corona virus and prevent its cause from further spread. Perhaps Artificial Intelligence is a bit overstated. But when it comes to medicine, there is a proven record of how useful artificial intelligence has been in this field. So, can the artificial intelligence help with the challenge of discovering the cure for this dangerous disease? Many companies are in the race to solve this problem.
Accenta, a company based in Oxford, which first tested humans with artificial intelligence, is busy researching 15,000 drugs at the Scripps Research Institute in California. Helix, a Cambridge company founded by Viagra co-creator Dr. David Brown, has turned the artificial intelligence system into finding the medicines for rare diseases. Now their goal is to discover Corona's treatment.
The system is divided into three parts: Review all current literature literature To study the virus DNA structure and evaluate the perfect fit of different medicines The drug discovery process has traditionally been quite slow. Dr. Brown told BBC News: 'I've been doing this for 45 years and so far I've only been able to bring three medicines to market.
But artificial intelligence is progressing very fast. "It has taken us several weeks to gather the required data and we have also received new information in the last few days so we have a large amount of data," says Dr. Brown. He explains that 'the algorithm runs on Easter and in the next seven days we will have the results of all three procedures.
Helix hopes that in light of this information, he will make a list of possible drugs by May and he is discussing laboratories for his clinical trials. When it comes to the Corona virus, there are two ways for those seeking treatment with artificial intelligence.
Finding a completely new drug but having to wait a few years to approve its safe use or regenerate existing medicines with a new purpose. But Dr. Brown said there was absolutely no possibility that the virus could be cured with a single drug. For Helix, this means a detailed analysis of over 8 million potential pairs and 10.5 billion collections of medicines made possible with over 4,000 approved medicines in the market.
"Artificial intelligence is one of the strongest paths we have to achieve a viable drug," Professor Ara Tarazi, director of the Institute of Global Health Innovation at Imperial College, told BBC News. But the basic requirement for this is a set of high quality, large and clear data. ' "To date, much of this information has been sent to individual companies, such as major pharma companies or that have been lost in old laboratories within universities."
"Now more than ever, there is a need to combine all data sources involved in the discovery of these proportional materials, so that researchers of artificial intelligence use their new machine learning techniques to discover the treatment of COVID-19 as soon as possible. Barabasi Laboratory of North Eastern University in the United States, Harvard Medical School, Stanford Network Science Institute and Biotech start-up Shaffer Madison, all looking for a drug that has been re-developed as a treatment for COVID-19.
Their efforts are to be appreciated but can this artificial intelligence aproach will really be helpful. Is there a good scope of artificial intelligence in treating this disease. Let’s see, if it really concludes in a cure for COVID-19.
Accenta, a company based in Oxford, which first tested humans with artificial intelligence, is busy researching 15,000 drugs at the Scripps Research Institute in California. Helix, a Cambridge company founded by Viagra co-creator Dr. David Brown, has turned the artificial intelligence system into finding the medicines for rare diseases. Now their goal is to discover Corona's treatment.
The system is divided into three parts: Review all current literature literature To study the virus DNA structure and evaluate the perfect fit of different medicines The drug discovery process has traditionally been quite slow. Dr. Brown told BBC News: 'I've been doing this for 45 years and so far I've only been able to bring three medicines to market.
But artificial intelligence is progressing very fast. "It has taken us several weeks to gather the required data and we have also received new information in the last few days so we have a large amount of data," says Dr. Brown. He explains that 'the algorithm runs on Easter and in the next seven days we will have the results of all three procedures.
Helix hopes that in light of this information, he will make a list of possible drugs by May and he is discussing laboratories for his clinical trials. When it comes to the Corona virus, there are two ways for those seeking treatment with artificial intelligence.
Finding a completely new drug but having to wait a few years to approve its safe use or regenerate existing medicines with a new purpose. But Dr. Brown said there was absolutely no possibility that the virus could be cured with a single drug. For Helix, this means a detailed analysis of over 8 million potential pairs and 10.5 billion collections of medicines made possible with over 4,000 approved medicines in the market.
"Artificial intelligence is one of the strongest paths we have to achieve a viable drug," Professor Ara Tarazi, director of the Institute of Global Health Innovation at Imperial College, told BBC News. But the basic requirement for this is a set of high quality, large and clear data. ' "To date, much of this information has been sent to individual companies, such as major pharma companies or that have been lost in old laboratories within universities."
"Now more than ever, there is a need to combine all data sources involved in the discovery of these proportional materials, so that researchers of artificial intelligence use their new machine learning techniques to discover the treatment of COVID-19 as soon as possible. Barabasi Laboratory of North Eastern University in the United States, Harvard Medical School, Stanford Network Science Institute and Biotech start-up Shaffer Madison, all looking for a drug that has been re-developed as a treatment for COVID-19.
Their efforts are to be appreciated but can this artificial intelligence aproach will really be helpful. Is there a good scope of artificial intelligence in treating this disease. Let’s see, if it really concludes in a cure for COVID-19.
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