Three Tips for Achieving Accelerated Drug Discovery And Development

By Daniel Tabas, Senior Data Scientist, IDBS

Despite a $58 billion investment in technology in 2022, the pharmaceutical industry still relies heavily on outdated manual processes and disorganized data. However, the use of machine learning, artificial intelligence, and advanced analytics is beginning to revolutionize drug discovery and development, potentially bringing drugs to market 500 days faster and 25% cheaper. Alberto Pascual, Director of Data Science & Analytics at IDBS, suggests three key steps to accelerate this process: understanding and managing data effectively, involving scientists in digital transformation, and utilizing advanced analytics. The use of AI and machine learning can further accelerate this process, potentially saving significant time and costs. However, the challenge remains in transferring knowledge from discovery to post-commercialization. Tools like the IDBS Polar platform can securely manage a drug’s progression through its development lifecycle, providing a quality data backbone that is complete, accessible, and reusable.