In the intricate and high-stakes environment of modern healthcare, where every second and every resource can profoundly impact patient outcomes, the management of physical assets has transformed from a mundane logistical task into a critical strategic function. This evolution is driven by a
Imagine a world where diagnosing coronary artery disease, a condition impacting roughly 18 million adults in the United States alone, becomes not only faster but also far more precise, thanks to the marriage of artificial intelligence and medical imaging. This isn’t a distant dream but a reality
Imagine a world where the tiniest components in your smartphone or a life-saving medical implant are assembled with a level of accuracy that the human eye can’t even detect. This isn’t science fiction—it’s the reality of modern manufacturing, driven by precision robotics that operate at scales as
Imagine a future where a single drop of blood can reveal a detailed health diagnosis in mere minutes, all thanks to machines that work smarter and faster than ever before. This isn’t a distant dream but a reality unfolding in Libya’s medical laboratories, where automation technology is
Matthias, great to be here. I’ve spent the last decade building robotics and IoT systems that quietly shoulder the “boring but vital” work in hospitals—getting supplies where they need to be, keeping equipment online, and, increasingly, making sure patients actually make it to their appointments.
As the deadline for the expiration of enhanced Affordable Care Act (ACA) premium tax credits approaches, millions of Americans face the daunting prospect of skyrocketing health insurance costs that could render coverage unaffordable. A newly introduced bipartisan bill in the U.S. House of
