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AI and the Big Data paradigm – big ambitions in novel drug discovery

pharmaphorum

Over the past few decades, data generation has veritably exploded. However, the ‘Big Data paradigm’ is not so much concerned with the volume of that data, but how businesses and, indeed, industries can derive meaningful insights from what has become a glut of information. A slow journey to drug discovery.

Big Data 122
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How to Identify Branded Drugs with a Low Likelihood of Generic Entry as Targets for In-Licensing

Drug Patent Watch

Identifying branded drugs with a low likelihood of generic entry has become a crucial strategy for companies looking to expand their product portfolio through in-licensing. In this comprehensive guide, we’ll explore the intricacies of identifying such drugs and leveraging them for successful in-licensing opportunities.

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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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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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August 16, 2023: In This Friday’s PCT Grand Rounds, the Draft Revision of the ICH Good Clinical Practice Guideline

Rethinking Clinical Trials

Landry is a professor of medicine and epidemiology at Oxford Population Health and deputy director of the University of Oxford’s Big Data Institute. ElZarrad is the director of the Office of Medical Policy in the FDA’s Center for Drug Evaluation and Research. Join the online meeting.

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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 EU is also contextualising the analysis of EHR data for the management of disasters, health threats, and in policy-making.

Big Data 278
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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. References 1. 8 (2018) 2. 1 (2016) 3.