
Pharma companies turn to AI to speed up drug development, but hit hurdles
Live MintWhen Genentech licensed experimental drug vixarelimab from Kiniksa Pharmaceuticals, its scientists thought they had a future lung medicine in their hands. British drug giant AstraZeneca’s use of AI for drug discovery across its portfolio shortened the time it took to design molecules from years to months and sometimes even weeks, the company’s chief data scientist, Jim Weatherall, said. “We now routinely integrate millions of data points from laboratory experiments, clinical studies and real-world data to better understand the drivers of disease and then use this knowledge to precisely design and target treatments," the company’s senior director of machine learning and AI, Patrick Schwab, said. “There is a data problem, a people problem and a bit of a strategy problem," said Thomas Clozel, chief executive and co-founder of Owkin, a Paris-based company that applies AI to medical research. Clozel pointed to a focus on short-term results among pharma companies and difficulties attracting and retaining data scientists as factors hindering the industry’s embrace of AI.
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