Healthcare’s privacy scaffolding was forged for an era when records lived on isolated servers, research moved slowly, and most risk came from an insider peeking where they should not, but the current reality is a continuous flow of clinical, consumer, and claims data that can be combined, mined,
In a world where antimicrobial resistance (AMR) stands as one of the most pressing public health crises, the need to scrutinize and optimize the use of antibiotics in healthcare settings has never been more urgent, especially since AMR contributes to ineffective treatments, prolonged illnesses,
Wearable technology, encompassing devices like smartwatches and fitness trackers, has surged to the forefront of healthcare innovation, promising to revolutionize how individuals monitor their wellness and how medical professionals approach patient care with unprecedented insights. These gadgets
Imagine a clinical trial landscape where nearly a third of the data collected serves little purpose, adding unnecessary strain on participants and trial sites without advancing core research goals, a reality brought to light by a groundbreaking study. This study, conducted by a leading nonprofit
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
