Accelerating Drug Discovery by ML

For an American pharmaceutical and biotechnology company

Challenge

Our Client faced the challenge of accelerating its drug research and development process. The traditional drug discovery process is long and expensive, and it can take many years to bring a new drug to market. They needed to find a way to streamline its drug discovery process and make it more efficient.

Sollution

InterraIT used machine learning (ML) to solve this challenge. ML is a type of artificial intelligence (AI) that can be used to analyse large amounts of data and identify patterns that would be invisible to human researchers. InterraIT used ML to build a platform that could automate many of the tasks involved in drug discovery, such as screening potential drug candidates and identifying promising targets for drug development.

Results

The use of ML has helped our pharma client to accelerate its drug research and development process. The company has been able to bring new drugs to market more quickly and efficiently. For example, A drug, which is used to treat lung cancer, was developed using ML and was approved by the FDA in just over two years.

Conclusion

This case study shows how ML can be used to transform the pharmaceutical industry. ML has the potential to revolutionize drug discovery and development, making it faster, cheaper, and more efficient.

• • Reduce the time it takes to discover and develop new drugs by 33%
  • Reduce R&D cost by up to 25 %
  • Increase revenue by 15%