Dr. Richard Graham explains how FDA’s new program allows for the usage of real-time data during clinical trials. In April, FDA announced plans for a pilot program to allow for real-time data review ...

Abstract: This paper discusses the process of creating a virtual classroom platform. The main goal of this platform is to provide students and teachers uninterrupted learning experiences. React JS is ...

The North Carolina State Board of Elections identified approximately 34,000 dead people on the state's voter rolls following a comprehensive data comparison with a federal database. Earlier this month ...

WHITE OAK, MD – The US Food and Drug Administration (FDA) has announced plans for a future pilot program intended to facilitate the real-time review of clinical trials by regulators, as well as the ...

The FDA today announced a new initiative to allow its reviewers to access information from clinical trials in real time, with two major industry players already taking part in a pilot program.

Lizzy leads STAT’s coverage of the FDA. Her stories explore the relationship between politics and science at the FDA, industry influence, and the agency’s ability to protect and promote public health.

Why does it take a new drug 10 years, on average, to come to market? Part of the reason lies in the dead time in the process. Historically, trials have required tedious tabulations and repeated ...

Real‑time data visualization has become a requirement, not a luxury. US engineering teams, financial desks, and defense analysts need dashboards that update at 60 frames per second while handling tens ...

Abstract— Financial institutions increasingly require real‑time insights to support fraud detection, instant payments, liquidity monitoring, and AI‑driven decisioning. Traditional ETL‑centric ...

Some people see numbers as always having certain colors — for example, they see the number 5 as red. A new study reveals that their eyes react as if they see those colors in the real world. The study ...

Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...