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Managing Opportunities and Risks in Generative AI Use for Clinical Research

PPD

Generative artificial intelligence (AI) has captured global attention for its transformative potential across industries, and nowhere is the promise greater — or more fraught — than in health care and clinical research. Accelerate your clinical research with our drug development digital solutions from Thermo Fisher Scientific.

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The Growing Trend of Patient-Led Clinical Research in Rare Disease

Conversations in Drug Development Trends

By: Juliane Mills, Senior Director, Therapeutic Strategy Lead, Rare Disease The rise of patient-led clinical research, particularly in rare disease, represents a significant shift in the clinical trial landscape. Why Is There an Increase in Patient-Led Rare Disease Research?

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The AI model that is changing clinical trial design

Drug Target Review

Chief Executive Officer Steve Herne has spent more than 25 years in clinical research, with senior roles at WCG, Bioclinica and Covance. AI with a human purpose Herne speaks about AI in clinical research with pragmatic focus. Unlearn is one of the few companies applying this approach at scale.

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Innovating in Autoimmune and Bone Health Research: Driving Progress for Better Patient Outcomes

Conversations in Drug Development Trends

Fortunately, advances in clinical research are providing hope for better treatments and outcomes. With the support of global networks like ours at Worldwide Clinical Trials (Worldwide), autoimmune and bone health research is accelerating, providing new solutions to patients around the world.

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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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Key Trends Drug Developers Need to Know to Succeed

PPD

In response, the PPD clinical research business of Thermo Fisher Scientific conducted its third global survey of 150 drug developers to capture a comprehensive view of these evolving trends. This aims to ensure that treatments are effective across varied demographics and to address historical gaps in clinical research.

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Challenges and Future Trends in Biomarker Analysis for Clinical Research: What’s Ahead in 2025

Crown Bioscience

These innovations promise to enhance the precision and efficacy of early-stage research, setting a solid foundation for subsequent clinical applications and enabling the development of more personalized medicine. In this blog post, we’ll focus on the preclinical innovations and trends expected to reshape biomarker analysis.