AI-Powered Drug Discovery

in hive-109160 •  4 months ago 

The process of discovering new drugs is a crucial aspect of medicine development, and is already being revolutionized by artificial intelligence (AI). Typically, the process of drug discovery has been a long, slow, and costly affair, with research and development spanning over a decade and requiring billions of dollars before the resultant drug is accredited and rolled out in the market. AI is a much faster approach since it utilizes using high end algorithms and machine learning to just look at large sets of data and predict how effective the potential chemical compound would be.

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The advancements made in the recent past have also shown how AI can used in identifying viable drugs in a much shorter span of time. For instance, one of the advantages of AI is the ability to quickly scan millions of chemical compounds to identify compounds that are likely to interact with target proteins associated with diseases. This approach not only aids in shrinking the time required for the first phase of drug research but also cuts down the expenses greatly.

An outstanding example of women’s progress in the scientific field is the invention of new antibiotics to deal with resistant bacteria. With AI, there are chemical structures that some researchers did not bother to consider with traditional approaches, but that promise new weapons against antibiotic resistance. Also, AI is now present in a social context by customizing one’s medication to the results of genetic testing for a particular patient.

Day by day AI is evolving and when it is applied in the field of drug discovery this is likely to transform the drug discovery market and provide new treatments for diseases at a faster and more affordable manner than ever before.

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