This week, Melinda and I are joining hundreds of scientists for a 
meeting in Seattle. The topic is something we’re all passionate about: 
how to harness the advances of science in ways that benefit the poor.
The occasion is the 10th anniversary of our foundation’s Grand Challenges in Global Health
 program, which we launched with the goal of identifying the biggest 
problems in health and giving grants to researchers who might solve 
them. To be honest, we’re not as far along as I hoped a decade ago; the 
process of developing and perfecting new tools—going from 
proof-of-concept through clinical trials, regulatory approval, 
manufacturing, and distribution—is even slower and harder than I 
thought. But we’ve learned a lot, and we’ve made some promising 
progress.
Grand Challenges has its roots in what I call catalytic philanthropy.
 It’s designed to fix market failures—places where capitalism fails to 
meet the needs of the poor. Why is there so much more research done on 
baldness than on malaria? Because rich people go bald, and they don’t 
die of malaria.
Grand Challenges is like a venture capital fund in the sense that it 
backs a lot of ideas—some of them pretty crazy—knowing that many will 
fail, but a few could have a big impact. I’ll be delighted if five years
 from now, 20 percent of the initial projects are being deployed and 
saving lives. And I expect that much of the other 80 percent will still 
advance the frontiers of science by eliminating dead ends or making 
discoveries that enable other big ideas.
There’s another Grand Challenge that illustrates both what’s exciting
 and what’s hard about catalytic philanthropy: making the diagnosis of 
disease faster and more accurate.
Health clinics in many poor countries don’t have the same kind of 
sophisticated tools for diagnosing disease that many of us take for 
granted. If they do have access, it’s often a laborious process that 
involves mailing samples to a faraway lab and waiting for the results. 
The result: missed or delayed diagnoses and incorrect treatment plans. 
The evidence suggests that this problem has tragic consequences; in 
Tanzania and Nigeria, for example, studies found that misdiagnosis 
causes 25 percent of preventable deaths in children.
Imagine what would happen if American children were dying at that 
rate. The health-care market would spring into action, as dozens of 
companies went to work on new diagnostic tools. Yet because this was a 
problem of the poor world, companies were ignoring it. The market was 
failing.
So we challenged researchers: Can you create a new device that 
quickly diagnoses HIV, TB, malaria, and other diseases… accepts 
different samples, like blood, saliva, and sputum… is affordable… and 
reliable… and will work in a small clinic that has only a few hours of 
electricity a day? 
Today, five public-private partnerships have taken up the challenge. 
The journey from idea to reality is a long one. For one thing, the 
partners had to figure out whether making such a machine was even 
technically feasible. It is—several of them have working prototypes.
If this idea succeeds, that will be fantastic. If it doesn’t, we’ll all 
be disappointed. But as Thomas Edison famously said, “I have not failed 
10,000 times. I’ve successfully found 10,000 ways that will not work.” 
That spirit guides our foundation’s work in Grand Challenges and all our
 grantmaking. If one avenue turns out to be a dead end, there are always
 many more waiting to be explored.
 
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