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Redefining Acceleration of the Drug Development Journey

PPD

It is hard to ignore some of the most pressing, long-term trends driving the push to accelerate innovation and progress in drug development. It demands a comprehensive, collaborative approach that reduces complexity and allows for just-in-time decision-making throughout the drug development journey. billion in 2023 to 1.2

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How AI will reshape pharma by 2025

Drug Target Review

Artificial intelligence (AI) has revolutionised many industries, yet its adoption in pharmaceutical drug development has been notably slower. For years, AI and machine learning (ML) were often dismissed as little more than advanced statistics with little practical value in drug development.

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Future-proofing drug development with GenAI

Drug Target Review

It is becoming increasingly evident that generative artificial intelligence (GenAI) is a resourceful tool for helping pharmaceutical companies reduce manual tasks required by clinical trials. This has led drug developers to unintentionally limit their potential within chosen therapeutic spaces.

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Understanding the Regulatory Environment in Japan for Generic Drug Development

Drug Patent Watch

The regulatory environment in Japan for generic drug development is complex and has undergone significant changes in recent years. Regulatory Authority: Pharmaceuticals and Medical Devices Agency (PMDA) The PMDA is the primary regulatory authority responsible for overseeing the drug approval process in Japan.

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Key Trends Drug Developers Need to Know to Succeed

PPD

As the pharmaceutical industry continues to evolve, drug developers encounter new challenges and opportunities in their pursuit of innovation. From adapting to complex new trial designs to embracing cutting-edge technologies, staying ahead requires a deep understanding of the current landscape.

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The Real Cost of Complexity: What Every Drug Developer Needs to Know

PPD

Our annual look at the state of the drug development industry highlights a dual set of challenges complicating progress. Pressure and requirements to engage diverse patient populations in trials have become more challenging and expensive, requiring tailored strategies that can stretch both resources and budgets.

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From siloed data to breakthroughs: multimodal AI in drug discovery

Drug Target Review

Drug development is plagued by complex challenges, but multimodal AI is unlocking new opportunities. By integrating diverse data sources – from genomics to clinical insights – this approach is accelerating drug discovery, improving patient stratification and boosting success rates. Highlighting data integration.

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