Quest Diagnostics

Articles by Quest Diagnostics

Discover how Quest Diagnostics’ comprehensive lab data can elevate your clinical trials. Our latest white paper, "6 Ways Lab Data Can Improve Clinical Trials," explores the power of real-world data at every stage of the trial process.

As the clinical research landscape evolves, decentralized clinical trials (DCTs) have emerged as a foundational competency, enabling broader patient participation, increasing trial efficiency, and driving more inclusive, real-world data collection. However, the successful execution of DCTs requires more than just innovative technology—it demands a comprehensive strategy that addresses the unique challenges of decentralization.

This case study highlights Quest Diagnostics' successful and cost-effective patient recruitment for The Michael J. Fox Foundation's Parkinson's study. By using its extensive patient network, Quest engaged a large, diverse group for research into early disease indicators, effectively overcoming significant recruitment challenges.

This datasheet illustrates how Quest Diagnostics' extensive de-identified lab data can be leveraged to accelerate and optimize clinical trials for breast cancer research. Researchers can use this real-world data to identify high concentrations of eligible patients, select optimal trial sites, find suitable principal investigators, and drive targeted patient recruitment efforts.

This datasheet illustrates how Quest Diagnostics' extensive de-identified lab data can be leveraged to accelerate and optimize clinical trials for Chronic Kidney Disease (CKD). Researchers can use this real-world data to identify high concentrations of eligible patients, select optimal trial sites, find suitable principal investigators, and drive targeted patient recruitment efforts.

This datasheet illustrates how Quest Diagnostics' extensive de-identified lab data can be leveraged to accelerate and optimize clinical trials for colorectal cancer research. Researchers can use this real-world data to identify high concentrations of eligible patients, select optimal trial sites, find suitable principal investigators, and drive targeted patient recruitment efforts.

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