When people hear about a cancer research breakthrough, the story often sounds simple. A discovery is announced. A new therapy shows promise. A headline declares progress. But what most people don’t see behind cancer research breakthroughs is the long, demanding path that leads to that moment. Scientific progress rarely arrives in a single dramatic leap. It comes through years of incremental work, careful experimentation, and persistence from researchers who are trying to a

For more than a decade, policymakers have promoted value-based care as the future of American healthcare. Pay for outcomes. Reward quality over volume.Lower costs while improving patient care. On paper, it makes sense. In theory, it aligns incentives. In practice? The results are more complicated. If we’re serious about healthcare reform, we need to ask a straightforward question: Is value-based care actually delivering measurable results, or are we just relabeling the

But what they don’t see is the grind behind the scenes. The years of effort, the research that doesn’t get funded, and the scientists struggling to keep momentum without institutional support.

That’s what happened with a recent study the JKTG Foundation supported, one that explored how iron-based nanoparticles could help detect and treat tumors more safely. This wasn’t hype. It was smart, specific science. And it’s the kind of work we’re proud to back.

You don’t usually associate spreadsheets with survival rates. But that’s exactly the connection Dr. Paul Macklin is exploring in our latest Driving Research episode.

Every field has its trends, and science is no exception. One year, it’s immunotherapy. Next, it’s AI in diagnostics. Big breakthroughs and high-impact journals are great. But when funding begins to chase popularity instead of substance, something gets lost. The cost of chasing what’s popular in science is high. It’s paid by researchers working on foundational problems who can’t get funded. It’s paid by patients waiting for treatments that don’t check the right boxes. And it’s