03.20.25 -- Why Is Trust Stifling Our RBM Implementations?

Through an examination of evolving trial strategies and implementation, we aim to lay the groundwork for a collaborative, mutually beneficial atmosphere, ultimately leading to a sustainable competitive edge.

Explore the challenges of non-enrolling sites in clinical trials, focusing on the benefits of leveraging artificial intelligence (AI) and machine learning (ML) in addressing those issues.

Gain insight into the slow adoption rates and consider several compelling reasons why researchers should integrate these devices sooner rather than later.

Explore key challenges in accessing and preparing analytics-ready clinical data, how FAIR guiding principles can help maximize the value of clinical trial data, and the impact of innovative analytics.

Examine the transformative impact of eSource technology on monitoring productivity during a global Phase 3 trial conducted by a Contract Research Organization (CRO) amid the COVID-19 pandemic.

Cognizant’s Life Sciences business unit partners with biopharmaceutical and med-tech companies to develop strategies and apply solutions to healthcare challenges across the value chain.

Achieve earlier detection of potential adverse cardiac events and refine patient selection for future trial phases by implementing advanced QT monitoring tools.

Well-trained raters are key to generating high-quality, consistent clinical trial data. Explore a program offering customized training tailored to the experience levels of raters.