From Industrial AI to Better Health: Roland Busch on Accelerating Drug Discovery with Luma

Now imagine what happens when we apply industrial AI to something more personal, even more complex. Your body, your health. Life sciences. Bringing new medicines to the market costs a lot of time and money. Over the last fifty years, these costs have risen dramatically. It often takes more than ten years, and costs are up to two billion dollars Patients and pharmaceutical companies obviously want to have faster innovations. That means tackling every step in the chain from early research to manufacturing. And we bring AI to all these steps. Let's take the example of a new cancer drug. In research labs, scientists create billions of data points. Today, this data is scattered across industries, industry instruments and files and around the world. Through our platform, Luma, scientists use AI to bring this data together and structure it, so you can ask questions in natural language. Next step, scientists identify the most promising molecular structure of the cancer drug. With AI powered simulations, they can simulate the behavior of the molecule two point five million times more efficiently than ever before. And this includes how molecules move and flex, how they interact with each other or how stable they are over time. But then, then you need to go from making a small batch in the lab to producing at scale without the slightest deviation in the recipe. And with exactly the same result. Even for world class production experts, this means a lot of trial and error, lot of experiments in a bioreactor. In our digital twin of a bioreactor, you can run these experiments in the digital world first. You simulate until you have the highest quality and the highest output and only then only then you start the production.