Role of Artificial Intelligence in Pharmaceutical Industry

What Is Artificial Intelligence? 

Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. Many popular technologies fall into the category of artificial intelligence, including deep learning, machine learning, chatbots, self-modifying graphics systems, etc. Artificial Intelligence can be useful in managing data and presenting results that promote better decision making and help saving human effort, cost and time. The use of artificial intelligence for data mining and analysis has transformed many industries, including pharma and biotech industries.

Image source: www.budddy.in
Image source: www.budddy.in

 

Role of Artificial intelligence in Pharmaceutical Industry

With the advancement in technology, more and more entities are realizing the current uses and importance of artificial intelligence and adopting it to make their processes efficient. The industry is trying to follow innovative new methods to use this smart technology to simplify everything. 

Without using Artificial Intelligence, pharma industry can be affected in the following ways:

  • Collection and processing of medical information will be slow
  • Unavailability or missing data of medical records 
  • Drug discovery will be costly and time consuming
  • Drugs to be approved will be slow and will not reach the market in time. 

The best uses of AI in the pharmaceutical industry include drug discovery, drug manufacturing, diagnostic assistance, predicting epidemics and optimizing medical treatment processes.

Image source: businesswire.com
Image source: businesswire.com

 

There are many ways to apply artificial intelligence to the pharmaceutical industry as mentioned below:

  • Improvement in diagnostic process

By applying AI in the pharmaceutical industry, doctors can easily access large amounts of patient data and historical medical reports to get insights which would result in better diagnosis and treatment. Doctors use these records to understand how specific genetic characteristics affect the health of patients or how new drugs can improve the health of patients. They can also clearly understand the disease and suggest the most effective treatment. These electronic medical records can save time and money. 

  • Identification of Patients for Clinical Trials

The clinical trial research process is no longer a risky job to discover any drugs. Through machine learning, healthcare organizations can process the collected patient data to identify suitable patients for the trial procedure. People can effortlessly transmit the necessary information via smartphones and other portable devices. In this way, obtaining relevant information from the patient becomes fast and easy. The processed data is context-sensitive, error-free, and of high quality.

  • Innovation in drug discovery 

Machine learning improves all stages of the drug discovery process. All types of data can be analyzed using machine learning and then used to create unconventional drug discovery solutions. Artificial intelligence helps to reduce the time it takes for drugs to be approved and marketed. This can save a lot of costs, which can mean lower drug costs for patients and more treatment options.

  • Improve patient care 

Before it was difficult to track and monitor patient data while making decisions in real time. Through machine learning, it has become easier than ever to manage large amounts of data and find possible treatments for different symptoms. Through machine learning, detailed information in medical records can be used to predict actionable interventions and improve healthcare. 

  • Predict epidemics more accurately 

Based on accumulated information from the Internet, social platforms, satellites and other popular sources, machine learning technology is also used to monitor and predict epidemics around the world. This machine learning application is useful, especially for countries that generally lack adequate medical infrastructure, adequate disease knowledge, and easy access to appropriate treatments. 

  • Social media listening

Artificial intelligence is of great help in processing the patient and physician conversations happening on social media. Through use of complex machine learning algorithms, this conversational data can be converted into meaningful insights which would help the pharmaceutical companies in improving patient experience, new drug innovation and more

Conclusion

Artificial intelligence plays an important role in the pharmaceutical industry and this technology will show no signs of slowing down in the next few years. From automating healthcare processes to helping drug discovery, artificial intelligence and machine learning can revolutionize the industry completely. The application of artificial intelligence can help companies improve efficiency, make effective decisions for patient care, and stay ahead of the competition. 

 

Image source: mobisoftinfotech.com
Image source: mobisoftinfotech.com

References

  1. https://www.sartorius.com/en/knowledge/science-snippets/the-trending-role-of-artificial-intelligence-in-the-pharmaceutical-industry-599278
  2. https://www.forbes.com/sites/cognitiveworld/2020/12/26/the-increasing-use-of-ai-in-the-pharmaceutical-industry/?sh=3e2bf97e4c01
  3. https://stefanini.com/en/trends/news/a-guide-to-ai-in-the-pharmaceutical-industry