Remove Big Data Remove Clinical Trials Remove Regulation
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Inside the European mass shift to data-driven health solutions

Pharmaceutical Technology

Countries like Estonia and Finland have taken on a completely digitised approach to their health services , integrating EHR data to efficiently prescribe medications and improve treatment strategies. Darwin is part of a package of projects and initiatives to transform to data-driven medicines regulation.”.

Big Data 278
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AI, big data and real world evidence – the challenges and opportunities

pharmaphorum

One of the main reasons to use RWE is to counter a common criticism of the large phase 3 trials that for so long have been the ‘gold standard’ when developing drugs and gaining authorisations from regulators. The post AI, big data and real world evidence – the challenges and opportunities appeared first on. About Savana.

Big Data 104
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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered.

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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered.

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Pharma Research Trends: Leveraging Innovation for Smarter Marketing Strategies

Pharma Marketing Network

AI and Big Data: Transforming Pharma Research Artificial intelligence and big data analytics are revolutionizing pharma research. The Role of Real-World Evidence Real-world evidence (RWE) bridges the gap between clinical trials and everyday use. Ethical marketing is essential in maintaining trust.

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EMA pilot will see if clinical trial data should be digested ‘raw’

pharmaphorum

A pilot study has been launched by the EMA to see whether it is helpful for regulators to look at the ‘raw data’ from clinical trials submitted in support of new marketing application along with the usual structured analyses from sponsors.

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Integrated evidence generation 2.0: A strategy for every stakeholder

pharmaphorum

Future advances in personalized medicine, harnessing the power of big data, artificial intelligence, machine learning, and personal digital technology to deliver truly bespoke and personalized solutions for improving patient outcomes are likely to shake the market further.