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Revolutionizing Drug Development

Drug development includes a wide span of stages from the discovery to the approval and marketing not forgetting the clinical trials. It is a very sophisticated process, all the way from the labs to the shelves. The cost of drug development is so high that commercial success is crucial to both companies and investors. A failure at the trial phase can be financially detrimental. Hence, reduction of factors like money, time, and health related risks is highly acclaimed.

A drug development takes considerable time, requires significant investment and involves also a lot of human resources and technological expertise. It is time and energy consuming and with the current health crisis the world is going through, revolutionizing drug development could be particularly relevant. 

How can Drug Development be Revolutionized?

One of the methods through which this can be done is with the use of A.I. Artificial intelligence is a technological advancement that if used properly can help to revolutionize healthcare, especially in the drug development sector. There is a lot of potential in A.I. if companies can understand and grasp its true power and function, thereby utilizing it for more effective and efficient products.

There are many ways through which A.I can be used to improve the drug development process. 

Drug Discovery:

Firstly, it can be used in drug discovery output through advanced algorithms and data analysis. The process of drug development has different steps and the first steps usually involve understanding the human biological system and its reaction to diseases. Here, the researchers have to understand the cause and action behind a particular disease or condition and this can be done only by looking into multiple layers of human biology from genes to proteins and metabolites and also outside factors. They make sure to cross-check this information with a large amount of data from using multi-omic analysis. 

This process can be made easier through advanced computerization and A.I. Making use of A.I will help to better understand complex diseases like cancer and diabetes and in term facilitate the search for better treatment and solutions. The application of A.I will help to manage the billions of data generated from these studies and ease their application in drug discovery.

For Clinical Trials:

Another area where A.I can revolutionize drug development is in the area of clinical trials. The clinical testing of new drugs on animals and humans can cost a lot of money in millions of dollars and can be very dangerous healthwise. But A.I could help to reduce the financial costs and health risks through the use of virtual bodies. 

Virtual bodies could be programmed to imitate human physiology and reactions to certain stimulation. With virtual bodies a lot of tissues and cells could be tested at once, thereby saving the time and stress of traditional clinical trials.

Conclusion:

A.I is something that a lot of pharmaceutical companies may want to look into. Although it is still in its infancy, artificial intelligence shows promising signs of progress and might replace traditional clinical trials in the next few years.

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