Lal added that massive data sets are collected that are very complicated and contain many different related kinds of information.
"...the size and richness of the data sets that we're now getting in this field makes it really essential to use machine learning and deep learning to analyze this data in order to answer complicated questions like, for example, how do we identify people who are more at risk of developing various diseases before they actually develop signs of those diseases," she said.
These data sets can also help understand the mechanisms by which a certain disease arises in people, or how does one identify patients who might respond differently or be more sensitive to a particular kind of drug or treatment, she further said.
Saurabh Singal from KnowDis Data Science said AI models can quickly narrow down the list of the candidate drug molecules, which might possibly bind to the protein, modify its behaviour and provide therapeutic benefit.
He explained that a special type of AI called Deep Learning can help answer the question of which existing drugs can modify to the viral proteins active in the replication of the coronavirus.
He added that this can narrow down the time to develop the drug greatly, accelerating the efforts to combat the virus.
(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
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