Nimble Clinical Research, a US-based innovator specializing in AI-powered technology for automating complex clinical trial processes, and CuMinds Innovations, an India-based Knowledge-as-a-Solution (KaaS) provider focused on clinical data science services, today announced a strategic partnership. This collaboration

We are thrilled to announce the launch of our cutting-edge AI-powered platform, specifically designed to revolutionize the way Data Managers approach critical study startup tasks. Say goodbye to tedious manual processes and hello to a new era

Today, I’d like to talk about a common misconception I’ve seen across the industry—in discussions, presentations, and strategy meetings: the belief that before you can use AI, you must first train it. It’s an assumption rooted in

The future of clinical research programming is evolving at breakneck speed. Traditional languages like SAS are no longer our only safe bet. Python and R are no longer niche tools—they’re powerful, and AI-ready. A New Era of

Imagine you're Neo from The Matrix, and you suddenly need to learn kung fu. Instead of enrolling in a dojo, you just download the skill directly into your brain and—boom!—you're a master. That’s essentially what Retrieval-Augmented Generation

As we are embracing AI, it is interesting to look back at the ascension of AI in enhancing data analysis capabilities to support clinical trials. Starting from rule-based systems that required us to manually program every guideline,

Today, I want to delve into the emerging world of AI agents. This brings to mind the iconic scenes from the Matrix movies where Agent Smith replicates, forming an army of agents. While we're not yet facing

The 80-20 rule is often used to describe the imbalance of effort in clinical trials—20% of the standardized work is efficient and straightforward, while the remaining 80% demands deeper expertise, collaboration, and customization. But with the rapid

As AI promises to become integral to clinical data management, making thoughtful decisions about its use is critical. Here are ten focused questions to guide your thought process: How will AI improve the accuracy, speed, and efficiency