AI doesn’t fail because the models aren’t good enough. It fails because the supporting architecture around the LLM, retrieval, memory, orchestration, and control layers is often incomplete or misapplied. Even state-of-the-art models can under deliver when they lack the intelligent scaffolding needed to translate raw capability into real-world performance.

Beyond the Hype At the Innovation Discovery Center, we've seen one pattern repeat itself: for every exciting new AI headline, there are a...

As a platform deeply involved in the intersection of technology and healthcare, team IDC been closely observing the transformative impact...

The digital revolution in healthcare is fully underway and rapidly accelerating. After years of lagging behind other industries, medicine...

Embarking on the path from a mere concept to a market-ready healthcare innovation is both exhilarating and fraught with hurdles. This...

In the vibrant ecosystem of healthcare innovation, collaborative platforms like Innovation Discovery Center serves as catalysts,...

Abstract: Recent studies have increasingly spotlighted the gut microbiome's role in human health, particularly its potential influence on...

Dive into the future with our exploration of emerging tech trends. From the fusion of biology and technology to co-existing with robots.

IDC Introduction: IDC believes that healthcare innovation can be leveraged from other industries. Our guest contributor in this blog...

IDC Introduction: IDC believes that healthcare innovation can be leveraged from other industries. Our guest contributors in this blog...