In this Nature article, Bayer shares how they are prepping for a future where algorithms control many elements of research and production.
Digital lab platforms that enhance collaboration between chemists, biologists and informaticians are becoming the norm in a post-pandemic world.
Short-term thinking might see labs stumble on the first steps of their digital journey, but done right, the digitalization process can transform the efficiency, quality and sustainability of operations.
In the realm of AI, data is king. Algorithm performance strongly depends on the quality of both the training data and the experimental results subsequently fed into it.
More labs are making the transition from paper-based processes to advanced digital solutions, which has led to more scientists embracing the digital era.
“With the help of AI augmenting researchers’ domain expertise, biotechs have the opportunity to systematically address the unmet health needs of millions.”