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Major Role of Artificial Intelligence in Pharmaceutical Industry

Over the last few years, the implementation of Artificial Intelligence (AI) in Pharma industry has shown a tremendous increase. AI in pharma refers to the utilization of automated algorithms to conduct those tasks that were initially dependent on human intelligence.

With the help of implementing AI, human intervention is decreased and the human error-free results are obtained. Due to the wide range of applications of AI, pharma industry can receive a great benefit.

AI can be implemented to almost all the aspects of pharmaceutical and healthcare industry to boost data processing. In pharma industry AI plays some major roles like in drug discovery and design, manufacturing process, marketing and processing clinical data.

Major Application of AI in Pharma

Drug Discovery and Design

AI has the ability to enhance R&D in pharma industry, involving designing and identifying new molecules, drug discoveries. It has the capability to reduce the time taken for conducting a trial and getting approval, which leads to marketing the drug. When these processes are done timely, the cost is reduced and as a result, treatment options are increased and more therapies become easily affordable.   

Not only AI plays a significant role in target-based drug discoveries, but it also helps in multi-target drug discoveries, biomarker identification and drug repurposing.  When AI is implemented during drug trials, it reduces time taken for approving it and marketing it. For instance, the researchers can validated and identify innovative cancer drug targets like next generation sequencing, longitudinal electronic medical records.

Improvement in Manufacturing Process

In manufacturing process of drugs, AI offers several opportunities for improving production. It can execute quality control, decrease design time, carry out predictive maintenance, reduce waste of materials and upgrade production reuse and more. 

AI has the potential to make the manufacturing process much more efficient by giving the output quickly, reducing the waste and achieving the critical quality attributes of products. Like in a process that entirely depends on human interference for managing the processing data or for inputs, it can be done by using Computer Numerical Control (CNC). The algorithms of AI machine learning ensure that all the tasks are executed precisely.

So, by implementing AI in manufacturing process, the pharma industry can easily benefit enormously. It will also remove traditional process which involved human intervention, which will make the process human error-free.

AI in Marketing

As AI is becoming more beneficial for enhancing the methodology of marketing and strategies that are used by businesses, it plays a major role in marketing process of pharmaceutical industry because it is a sales-driven sector. The best way to boost the revenue of a company is by discovering and exploring the widely used form of marketing.

With the help of AI, a company can make a chart of the common customer journey, which helps in identifying the best marketing techniques which will promote a profitable success.  It is important for a company to know the most successful marketing strategies that they used in the past to reduce the time and money being wasted. This can be done by using AI to analyze campaigns that occurred in past because the predictions of AI can be easily trusted.

Processing Clinical Data

The most advance use of AI is in algorithms which are designed to interpret, read and group massive textual data. By using AI in processing clinical data, it acts as a time-saver for all the researches of the pharma industry. It also provides a more systematic way to examine a large amount of data. For instance, it can validate or discard hypotheses of research publications.

In many clinical studies, handwritten notes are taken which includes the time when patient took a drug, other medications and adverse reactions that patients had. The tests results involving imaging scans and these notes can be interpreted and gathered by using AI. In this way, implementing AI can reduce time taken for research, cross-referencing the data, compiling and retrieving data in a usable format for analysis.

Summary: The Future of AI in Pharma Industry

Artificial intelligence is indeed the next best thing for the Pharmaceutical Industry. The healthcare expert feels that AI will be implemented on a large scale in pharma industry in the coming years. This is all because of the benefits that AI has provided to the pharma industry and to other industries as well.

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