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Dangerous data delays – a real-time problem

pharmaphorum

Delayed clinical trial data delivery is a growing problem for pharmaceutical companies and one that can have catastrophic consequences for the development of their promising pipeline candidates. But there are ways to improve this situation, as Remarque Systems’ recent Is a lack of real-time data holding trials back?

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Will AI Replace Pharma Jobs? What Experts Predict

Pharma Marketing Network

Table of Contents The Rise of AI in Pharma Roles Most at Risk (and Why) Emerging Opportunities Through AI Strategic Adaptation for the Pharma Workforce Conclusion FAQs The Rise of AI in Pharma Artificial intelligence is reshaping how pharmaceutical companies operate. Which pharma roles are most affected by AI?

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Intelligent Automation in Pharmaceutical Industry (AI & ML)

PharmaShots

The article focuses on the integration of automation with Artificial Intelligence (AI) and Machine Learning (ML). This article provides an informative account of intelligent automation, the key differences between AI & ML, their importance, and a potent eight-step roadmap to implementation. With the impelling Pharma 4.0,

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Data Integrity in the Pharmaceutical & Life Sciences Industry

Viseven

Good record management practices, quality risk management, and robust compliance frameworks are standard procedures in industries like pharmaceuticals and life sciences. All of it is done to assure data integrity—the glue that holds together all measures and actions performed to keep the data safe, error-free, and complete.