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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. As a result, biopharma and biotech companies working to bring their drug pipelines to the market require deep expertise from trusted partners to help deliver critical therapies for their patients.

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Accelerate oncology drug development: A data-driven approach to clinical decisions

BioPharma Drive: Drug Pricing

Speed vs. success in oncology trials: Discover data-driven strategies to accelerate 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. Long-term sustainability may benefit from identifying priority indications, exploring emerging mechanisms of action and refining development priorities.

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Non‐Hydroxamate Inhibitors of IspC Enzyme in the MEP Pathway: Structural Insights and Drug Development Potential

Chemical Biology and Drug Design

The review provides a comprehensive analysis of non-hydroxamate inhibitors for IspC, an enzyme crucial in the MEP pathway, highlighting its structural diversity and improved drug development potential.

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Deliver Fast, Flexible Clinical Trial Insights with Spotfire

Clinical research has entered a new era, one that requires real-time analytics and visualization to allow trial leaders to work collaboratively and to develop, at the click of a mouse, deep insights that enable proactive study management.

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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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Leveraging AI Solutions for Clinical Trial Efficiencies

PPD

As clinical trials become increasingly complex, particularly in decentralized trials and rare disease studies, sponsors experience increased challenges in site selection, forecasting and resourcing, and patient recruitment and enrollment. Discover how AI is used to optimize key aspects of clinical trial management. Get in touch.