AI as a Game Changer
How Artificial Intelligence is transforming the work of biotech and pharma companies.
Thorsten Schüller, CHEManager
A revolution is underway in the pharmaceutical industry: drug developers are now using artificial intelligence (AI) at nearly every stage of development to make their processes faster and more efficient and to discover new active ingredients. At the same time, technology companies are increasingly entering drug development using AI. As a result, the rules of the game in drug development are changing significantly. Here’s a look behind the scenes of pharmaceutical research and production.
The Penzberg site of the Swiss pharmaceutical and diagnostics company Roche sits like an island in the Nonnenwald forest. It almost seems as if the plant wants to hide. Yet here, about 30 miles south of Munich, around 7,900 employees work on developing and producing new medicines and diagnostic tests. They now use artificial intelligence in many activities; just last year, all approximately 100,000 employees across the company were trained in handling AI. Most have a laptop, use digital tools, and store data in a secure cloud area with Google.

Old Math, New Computing Power
Anna Bauer-Mehren is Roche’s AI expert for diagnostics and pharmaceutical research in Penzberg and a member of the Bavarian AI Council . She studied bioinformatics more than 20 years ago, focusing on AI and real-world data. She is familiar with the mathematics behind many biological-pharmaceutical models: “That comes from the 1950s and ‘60s. For a long time, it just couldn’t be computed.” There simply weren’t computers powerful enough to, for example, run large neural networks. The breakthrough only came much later, after 2010, with GPUs—graphics cards. These chips are specialized in performing many simple calculations simultaneously—exactly what neural networks require.
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