Gates Package — page 1226

together philanthropic capital with a venture mindset to accelerate the discovery and development of transformative tools for diagnosis of the disease. I hope this initiative can build on the good work that the community, including NIH and NIA, has done. Through this partnership, we are committed to bringing the funding, focus, and urgency required to solve this important problem. I'm eager to see what comes of it and motivated by the real potential for a breakthrough Alzheimer's diagnostic - ultimately helping us move closer to a cure. I hope you share this news with others in the field who can help bring us there. Thank you again and I am happy that our teams continue to work together. I look forward to our future collaboration and your continued leadership. Bill Why diagnosing Alzheimer's today is so difficult - and how we can do better By Bill Gates When I announced that I was investing in Alzheimer's research for the first time last fall, I thought I knew what to expect. I knew I would get to engage more deeply with the brilliant scientists and advocates working to stop Alzheimer's - and I haven't been disappointed. The things I've seen over the last seven months make me more hopeful than ever. What I didn't see coming was the amazing response I got from the Alzheimer's community at large. Because my family didn't talk publicly about my dad's diagnosis before the announcement, I had yet to experience how remarkable the support community is. So many of you have shared your personal experiences with me, both in person and online (including here on TGN). It helps to hear from others who are going through the same thing. Alzheimer's research is a frontier where we can dramatically improve human life - both the lives of people who have the disease and their loved ones. I'm optimistic that we can substantially alter the course of Alzheimer's if we make progress in several key areas. One of the biggest things we could do right now is develop a reliable, affordable, and accessible diagnostic. The process of getting diagnosed with Alzheimer's today is less than ideal. It starts with a cognitive test. If you don't perform well, your doctor needs to rule out all other possible causes for memory loss, like stroke or a nutritional deficiency. Then your doctor can order a spinal tap or PET scan to confirm you have Alzheimer's. Although these tests are fairly accurate, the only way to diagnose the disease definitively is through an autopsy after death. There are two big problems with this process. First, it can be expensive and invasive. Most insurance plans in the United States won't reimburse tests for Alzheimer's. Patients often pay thousands of dollars out of their own pockets. Meanwhile, spinal taps can be scary and uncomfortable, and PET scans require the patient to stay perfectly still for up to 40 minutes. That's difficult for anyone to do - but especially someone with Alzheimer's. Second, patients aren't being tested for the disease until they start showing cognitive decline. The more we understand about Alzheimer's, the clearer it becomes that the disease begins much earlier than we previously thought. Research suggests Alzheimer's starts damaging the brain more than a decade before symptoms start showing. That's probably when we need to start treating people to have the best shot at an effective drug. This delay is a huge problem in the quest for a scientific breakthrough. It's currently so difficult to find enough eligible patients for a clinical trial that it can take longer to enroll participants than to conduct the study. We need a better way of diagnosing Alzheimer's - like a simple blood test or eye exam - before we're able to slow the progression of the disease. It's a bit of a chicken and egg problem. It's hard to come up with a game changing new drug without a cheaper and less invasive way to diagnose patients earlier. But most people don't want to find out if they have the disease earlier when there's no way to treat it. The commercial market for Alzheimer's diagnostics simply isn't there. There's promising research being done, but very few companies are looking at how to turn that research into a usable product.