Imagine a clinical trial where every participant must navigate a maze of assessments, travel long distances, and adjust their daily routines, only to discover that much of the information collected isn’t even essential to the study’s core goals. A recent working paper from the Tufts Center for the
Imagine a cutting-edge generative AI system producing jaw-dropping content—be it realistic images, insightful text, or innovative code—only to falter because the underlying data is flawed. This scenario is all too common in the rapidly evolving field of artificial intelligence, where the spotlight
In an era where data drives innovation in health care, a groundbreaking initiative has emerged to empower researchers with the tools and funding needed to tackle some of the most pressing challenges in the field, and Rutgers Health, through the Rutgers Institute for Health, Health Care Policy and
The startling decline in the availability of federal data under recent policy shifts is creating a profound crisis for public health initiatives aimed at addressing health disparities across the United States. This critical information, which forms the bedrock for identifying inequities in health
In an era where artificial intelligence holds the promise of transforming healthcare, the University of Toronto has taken a monumental step forward by introducing the Health Data Nexus (HDN), a pioneering health data repository managed by the Temerty Centre for AI Research and Education in Medicine
In an era where artificial intelligence holds immense potential to transform healthcare, access to high-quality data remains a significant barrier, often encapsulated by the frustrating principle of "garbage in, garbage out"—where subpar data yields unreliable results, hindering progress. The