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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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The rising impact of biomarkers in early clinical development

Drug Target Review

In a recent survey conducted by ICON, Plc, biomarker selection was identified by 35 percent of respondents as a top challenge among drug developers for phase I trials, second only to navigating regulatory compliance (- 38 percent). Biomarkers can play a crucial role throughout clinical development, especially in early phases.

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How FSP Models Help Biotech Companies Augment Their Clinical Development Needs

PPD

Its ability to maneuver persistent drug development challenges, like patient recruitment, trial complexity and rising costs, will ultimately determine its success. This blog explores the value of functional service provider (FSP) models and how they help biotech companies augment their clinical development needs.

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Overcoming Orphan Drug Development Challenges with Real-World Data and Evidence

PPD

Developing treatments for individuals living with rare diseases is critical, but orphan drug development is laden with unique obstacles that necessitate innovative, multifaceted approaches. Data from these studies can accelerate research timelines and improve trial planning throughout the product life cycle.

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Revolution Medicines Secures $2B Funding from Royalty Pharma for RAS(ON) Cancer Drug Development

The Pharma Data

The strategic funding arrangement is designed to support the continued advancement and global commercialization of Revolution Medicines’ RAS(ON) inhibitor portfolio, including its lead candidate daraxonrasib, as the company scales its operations independently across the international oncology market.

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Leveraging AI Solutions for Clinical Trial Efficiencies

PPD

Click to enlarge Six AI and machine learning considerations for effective clinical trial management 1. Accelerate customer speed to market With a modern and integrated user experience, AI solutions put the right data and insights into the right hands in real time.

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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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