Predictive analytics, powered by natural language processing (NLP) and large language models (LLMs), is beginning to enable in real-world clinical settings. And while technology is promising, the road to widespread adoption still involves bridging technical, operational, and cultural gaps.
In a busy hospital in the Midwest, a nurse reviewing patient notes notices a pattern: a middle-aged man admitted for pneumonia had also reported mild dizziness and blurred vision during...
How is AI redefining functional medicine? Functional medicine is undergoing a transformation, powered by artificial intelligence. At the core of this evolution is a shift away from managing symptoms toward...
In the evolving landscape of healthcare and life sciences, innovation alone is no longer enough. Executive leadership across hospitals, payers, and pharma must now answer a more complex question: Can...
Clara Ferrer still remembers the morning the call came from the regional cancer registry. The researchers had finally received money for a real world study on new cancer drugs, and...
Ensuring that electronic health record (EHR) text can be shared without betraying patient privacy is no longer a purely technical exercise. It has become a strategic question of data governance:...
Demos
See More