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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. Errors jeopardize patient safety, regulatory compliance and trust. These domains are ripe for innovation.

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CDMO Selection: The Ultimate Checklist

Drug Patent Watch

It is crucial to determine whether you will be working with a CDMO for discovery and drug development all the way through approvals and commercialization or if your work with a CDMO will begin with preclinical development or clinical research. Range of Services The range of services offered by a CDMO is another vital criterion.

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

PPD

The drug development industry faces rising costs and increasingly complex protocols as top challenges, with 49% of developers citing costs as their primary concern and 39% pointing to protocol complexity as a key hurdle, according to a recent survey of 150 drug developers worldwide by the PPD clinical research business of Thermo Fisher Scientific.

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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).

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The Power of Worldwide Networks in Data and Safety Monitoring Boards

Advarra

Strengthened regulatory compliance: Different countries have varying regulatory requirements and expectations. This compliance is crucial for the successful regulatory approval and dissemination of trial results. A globally diverse DMC ensures the trial adheres to local regulations while maintaining high ethical standards.