Top 5 AI Use Cases in Pharma & Bio medicine

drug-development-&-biomedicine-blog

Top AI use cases in Pharma and Bio medicine

The use cases of Artificial Intelligence (AI) in the healthcare sector, especially in the pharma and biomedicine field, is gaining momentum.
Herein, we would like to go beyond the AI trends that exist in this ever-growing healthcare sector. Let’s start!
In our research, we found that approximately 50% of global healthcare companies will implement AI strategies and broadly adopt technology by 2025. In particular, global pharma and drug development companies will invest more in discovering new drugs for chronic and oncology diseases.
Through this article, we focused on what are the artificial intelligence applications that are highly using by the top 5 global pharma and drug development companies.
In this article, we aimed at clearing the doubts that most healthcare business leaders have their in mind such as-

  • What are the major AI and Machine Learning (ML) applications are increasingly using at the top pharma companies?
  • Are these companies follow common AI trends to reap the benefits? If so, what are the AI trends for Pharma companies?
  • How much global pharmaceutical and drug development companies are investing in machine learning and AI applications?

Now, we will directly move into our topic “how top pharma companies (like Johnson & Johnson, Roche, Pfizer, Bayer, and Novartis, etc.) are implementing AI applications.
I hope this article would help medium or startup pharma companies to know how AI help them in generating increased RoI.

#1 Johnson & Johnson- The America’s top pharmaceutical company

Johnson & Johnson (J&J) has started implementing AI since 2015 after the collaboration with IBM’s Watson Health. IBM Watson is an AI-powered cloud system designed to process enormous amounts of healthcare data. It provides proof-based responses to professionals in natural language.
At present, the company is striving to put its total efforts to combine expertise and the power of AI and ML to come up with new drugs, treatments, and surgical methods.

Robotics Surgery

The company has created a joint venture, Verb Surgical in partnership with Google Verily in 2015 to develop AI and ML-powered surgical robots to perform minimally invasive medical surgeries. Still, research works ongoing on Verb’s robots and is expected to come into the market by the end of 2020.

AI in Drug Discovery & Development

To remain competitive in this digital world, J&J continuing to merge its expertise and intelligent AI strategies to bring outstanding drugs and surgical solutions into the market.
The company is investing heavily in discovering precision medicine. Using the capabilities of AI and machine learning technologies, the company is aiming to provide more personalized healthcare services to patients based on their genetic profiles. Hence, this will help to improve patient outcomes and reduce healthcare costs.

AI to treat Alzheimer’s

In collaboration with WinterLight Labs, J&J reaps the benefits of an AI platform to monitor neuropsychological details to treat Alzheimer’s.
WinterLight’s speech-based smart AI platform can detect, understand, and record hundreds of measurable variables from a patient’s natural language. So that the automatic analysis of Alzheimer’s can be detected.

Future Plans of J&J using AI, IoT and Cloud Technologies

In addition to these, J&J continuing to invest in existing digital initiatives to grab digital opportunities. For instance: J&J using IoT to monitor product distribution, and their interaction with patients seamlessly.
With integrating IoT sensors into medical devices such as lenses and artificial joint replacement products, J&J was in plans to advance the clinical monitoring process of patients after surgeries.
If you’re ready to find a challenging business with AI, We’d love to meet you. CONTACT US to know more about the use cases of AI that help Pharma companies.

#2 Roche Holding AG- Top AI Investor

Roche, one of the global largest pharmaceutical and diagnostic companies. For the past few years, it is spreading announcements regarding how it is using AI technology to enhance its drug development operations rapidly.
Recently, in 2018, it acquired Flatiron Health. Flatiron Health is engaged in maintaining a vast amount of oncology data. This collaboration helped Roche to feed its ML systems for efficiently analyzing oncology disorders with more accuracy.
Later, in 2019, the company together with its subsidiary Genentech also started a predictive analytics project to better predict which diabetic retinopathy patients.
Likewise, Roche is collaborated with IBM and Sensyne Health to use AI for predicting chronic kidney diseases and for performing clinical trials respectively.

#3 Pfizer

Pfizer, America’s one of the biggest multinational drug development organization, in partnership with IBM, is rushing to fully catch up the AI technology. With the help of the cloud-based platform, IBM Watson, Pfizer is targeting on getting millions of medical data to early detect and find novel therapies for cancers.

Get your perfect AI solution to drive performance in your business

#4 Novartis

In a research collaboration with IBM, Novartis has to spread its arms into AI to get the best outcomes and for efficiently finding treatment options for breast cancers.
Using the real-time data provided by IBM’s cloud-based platform, Watson the company is deriving valuable insights related to the efficient outcomes of breast cancer treatment.

Know about our healthcare use cases

#5 Bayer Pharmaceuticals

This biggest pharma company is highly investing in emerging technologies like AI and ML with a focus on providing drugs for cancer and other life-threatening disorders.
As of media reports, in January 2020, the company has made a research collaboration agreement with the Exscientia to come up with the innovative drugs for cancer and cardiovascular diseases.
The company believes that the innovative AI technology can improve quality and size and reduce developing costs too. Hence, the company continues to invest in AI to achieve fast discovery and development of drugs.

Final Conclusion

Just think, these pharma and biomedicine companies are already proved their strength in the global drug development industry. Then, why they are investing in AI technology?
The simple answer is that they are trying to become more competitive and advanced in the industry. Then, why don’t you invest in AI? If not yet invested to make your processes seamless and efficient.
USM always stand beside you to transform your intelligent ideas into a real-world AI solution. Get in touch to get your AI quote now!

Comments
  • Like!! I blog quite often and I genuinely thank you for your information. The article has truly peaked my interest.

  • I really wanted to compose a quick note so as to express gratitude to you for all the superb techniques you are giving out at this website.

Leave a Reply

Your email address will not be published. Required fields are marked *