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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 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. Rising costs have become a persistent challenge for drug developers, driven by a combination of internal and external pressures that have intensified in recent years.

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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. By tailoring treatment approaches to these preferences, researchers can better address the needs of different patient subgroups.

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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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Logistics in Focus: Orchestrating the Challenges of Cell Therapy

Conversations in Drug Development Trends

By Amy Raymond, PhD, PMP, Executive Director, Therapeutic Strategy Lead, Rare Disease Cell and gene therapies (CGTs) include cutting-edge approaches that offer the hope of a healthier, happier, and better tomorrow for a wide range of patient populations. Below, we discuss some of these challenges in cell therapy trials.

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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. This was seen in the case of the BRAF V600E mutation test for melanoma patients receiving vemurafenib.

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The rising impact of biomarkers in early clinical development

Drug Target Review

As our understanding of the underlying biology of disease grows more sophisticated, emerging therapies operate on increasingly complex biopathological systems and mechanisms. Safety biomarkers account for adverse effects of a therapy under study. There are several types of biomarkers to consider.