Isn't it hard to believe that AI is firming its hold in the pharmaceutical industry?

Let's first get the concept of AI clear- It is a computerized version of human intellect that's programmed to think and act like people. The pharma industry has relied heavily on cutting edge technologies for a long to drop-ship safe and reliable drugs to the market.

Artificial intelligence (AI) coupled with Machine Learning (ML) have transformed every industry they entered till now, thanks to technological advancements. Given the pandemic and the panic it imposed on us, it was AI that proved vital in pharmaceutical companies marketing drugs and vaccines to market faster than ever.

Artificial Intelligence's imprint on Pharmaceutical Industry

This article is going to be a detailed walk through on the use of AI in the pharmaceutical industry:

Companies across all verticals are adopting Big Data and Artificial Intelligence technologies, the most lucrative prospect being the pharmaceutical industry.

Artificial intelligence brings along with it a promise of business transformations bringing a huge shift in the innovation paradigm of the pharmaceutical sector. Artificial Intelligence-powered analytics improves the value proposition by creating new business models with its onus resting on innovation.

It's a great tool since AI allows us to consistently produce improved results. 

Application of AI in the Pharma Space  

Artificial Intelligence is just everywhere in Pharma, from drug discovery to development to manufacturing and marketing.

Here's a list of some noteworthy applications of Artificial Intelligence in the Pharmaceutical Industry:

1) Research & Development:

Pharma industries around the world employ Artificial Intelligence tools to streamline the drug discovery process. They make the process of identifying nuanced patterns from datasets easier, and they can be applied to solve problems involving complex biological networks.

This study focuses on identifying patterns in diverse diseases and determining which drug is best for treating the disease's distinct characteristics. This helps them invest in the areas they decide to focus on the highest chances of successfully treating a disease or medical condition.

2) Drug development

Pharmaceutical companies are looking to artificial intelligence to increase the success rates of new drugs and cut costs on operations.

3) Diagnosis

Machine learning systems can be used by doctors to gather, interpret and analyze healthcare data. Healthcare workers are utilizing the power of machine learning to store highly sensitive patient history in a centralised storage system or securely on the cloud collectively known as electronic medical records (EMR).

Machine learning helps to process and analyze a huge chunk of data quickly, and it helps in diagnosis, thereby saving the lives of patients.

4) Disease Prevention

Pharma companies utilize AI to develop cures for both known as well as unknown and rare diseases. They don't spend time and resources on finding treatments for rare diseases. Companies see no ROI when they invest in research to find treatments for rare diseases. As for the time and resources invested, the turnover is rather low. Research on finding treatments for rare diseases is a drop in the bucket when compared to the time and money it takes to discover treatments to treat patients.

This scenario is changing quite rapidly thanks to Artificial intelligence coupled with Machine Learning.

5) Epidemic Prediction

Artificial intelligence is being employed all around the world to track and predict pandemic breakouts. Post covid this has become even more profound. They use data from a wide variety of resources to examine the relationship between various geological, environmental, and biological elements and the health of populations in various geographic regions, as well as the links between these factors and prior epidemics.

6) Remote Monitoring

It is a breakthrough in Pharma and healthcare as pharma companies have already developed wearables powered by algorithms to remotely monitor patients suffering from life-threatening diseases.

Also, the introduction of telehealth apps through which AI can diagnose certain diseases, some even before the patient shows the symptoms have shown us that AI is going to be an integral part of the future of pharma.

For Example, the smartphone camera will capture hand movement when it detects it, allowing the degree of Parkinson's symptoms to be determined.

7) Marketing

AI tools can go beyond discovery and diagnosis and help analyze marketing campaigns and compare the results to remain profitable. This enables the business to tailor content marketing campaigns, thereby saving time and money. AI can accurately predict the rate of success and failure.

Wrapping Up

The scope of AI in the pharma industry looks highly impressive. As with time and with more companies adopting AI and ML, it will lead to more usage of these advanced technologies, making them accessible for small and medium-sized pharma companies as well.

FAQs

1. What are the benefits of using AI in pharma?

Ans: AI can bring many benefits in streamlining the processes involved in the Pharmaceutical Industry. AI is already assisting the pharmaceutical business in speeding up their procedures, from researching cures to epidemic prediction.

2. How can AI be used in drug discovery?

Ans: Many challenges and limitations in traditional R&D can be addressed using AI. Small-molecule drug discovery can benefit from AI in four ways: new biology, improved or original chemistry, higher success rates, and faster and cheaper discovery processes.

3. Are artificial intelligence (AI) and machine learning (ML) the same?

Ans: Artificial intelligence (AI) is a technology that allows a computer to mimic human behaviour. Machine learning is a subset of artificial intelligence that enables the machine to learn from prior data without explicitly designing it.