Cathy Burgess, Benjamin Wolf, Jong Ho "Philip" Won, Ph.D. The Food and Drug Administration’s (FDA) recent rejection of all study data from Mid-Link Testing highlights the importance of using reliable, ...

For years, one of the biggest barriers to effectively implementing artificial intelligence (AI) into clinical trial data management has been a lack of trust in its capabilities. Although this concern ...

The rise of digital platforms has transformed the way researchers recruit participants. "Platforms" means not only social media channels such as X, Facebook and Instagram, but also specialized ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

Artificial intelligence is no longer an emerging technology—it is an embedded reality shaping the way we live, govern and do business. From predictive healthcare to autonomous defense systems, AI is ...

U.S. policymakers are increasingly anxious about the integrity of certain government benchmarks, the crucial data points that help the Federal Reserve assess the economy’s health and guide interest ...

Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. Organizations are looking to rapidly seek value from ...

The most common challenge faced when trying to monitor online information risks is access to social media data. This difficulty to access data stems from three main trends seen with social platforms, ...

Explore the critical role of a Data Integrity Analyst, including key responsibilities, average salary, necessary skills, and ...