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What’s the next step in big data and AI?

Drug Discovery World

Big data and AI are all the rage. But, beyond these buzzwords and the quantity of data, what’s next for these powerful tools? Troy Groetken says that data has the ability to create personalised, predictive and preventative medicine tailored to individual patients and identified patient groups/populations.

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Digitalising drug discovery

pharmaphorum

The oceans of health data out there can be overwhelming for pharma companies to manage – but if extracted correctly, the prospect to develop drugs from scratch in as little as a year is very real, says Lifebit CEO, Dr Maria Chatzou Dunford. . on Big data: astronomical or genomical? ,

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Synthetic control arms in clinical trials: Making it happen

pharmaphorum

Across the industry, pharma companies are turning to AI and real-world data to address many of the challenges of running clinical trials. Can the combined potential of new AI technologies and real-world patient data hold the key to overcoming the challenges in clinical trial design that have historically led to trial failure?

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Companies leading the way There are a number of companies leading the charge in applying innovative technologies, particularly artificial intelligence (AI) and machine learning (ML), to the search for new medicines. Digital tech is also helping researchers to find target candidates for some of the most challenging disease areas.

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A history of AstraZeneca

pharmaphorum

But although it was dubbed a “dangerous game”, some companies came out on top… On 6th April 1999, two companies with similar science-based cultures and a shared vision of the pharmaceutical industry came together to form what’s now considered as one of the top ten pharma companies in the world: AstraZeneca.