Boehringer De-Risking Development With Computational Biology

Obtaining useful biological information from the enormous amount of health data available could reduce attrition rates, accelerate development timelines and optimize trial design.

computer
• Source: Boehringer Ingelheim

Jan-Nygaard Jensen, global head of computational biology and digital science at Boehringer Ingelheim GmbH, says the German pharma is focused on a longer-term view to use artificial intelligence and big data applications to de-risk drug development so that it is less resource-intensive and time-consuming.

After a bit more than 18 months at BI heading up its digital science efforts – which include recent partnerships with Google and Yale University – Jensen says the company is not

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