Preparing for Eventual Policy Changes Around AI in Life Sciences

The undeniable advantages of AI and ML applications in the life sciences are beginning to outweigh the drawbacks. As awareness of biases and security risks has grown, so too have the remedies to address them. Government agencies are beginning to make policies around the responsible application of AI in the life sciences. For example, the FDA is actively considering the application of its regulatory framework to AI in drug manufacturing.

Laboratory informatics will have a central role in the adoption of AI by life sciences organizations, as data is the foundation of any laboratory informatics system. Taking steps early to ensure that your data is clean and FAIR will enable your organization to stay ahead of regulatory changes and be ready for the full realization of Pharma 4.0. Start preparing your data now for future AI applications and regulatory changes in the life sciences.