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Across the industry, pharmacompanies 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?
According to a recent GlobalData report, healthcare professionals have – for the second year in a row – ranked artificial intelligence (AI) and BigData as the top two technologies revolutionising the pharmaceutical sector. The legacy of this disruption has been a rethink in the way pharmacompanies do business.
During the pandemic, numerous digital health companies flourished due to the necessity for virtual solutions, including Komodo Health. He oversees operations, including businessdevelopment, sales and marketing, and people. Web Sun is co-founder and president at Komodo Health. About the author.
.” The partners stress that this novel approach, paired with the “explosion in availability and accessibility of real-world data and real-world evidence”, as Sun states, creates an opportunity to use this new technique to supplement the evidence traditionally generated from clinical trial control groups.
Bigdata analysis can be enormously powerful in providing insights for business strategy throughout the pharma value chain, including in the acceleration of drug discovery and development, optimization of manufacturing processes, management of supply chains and the creation of innovative sales and marketing strategies.
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