Problem
The 6th leading cause of death in the US.
What is Alzheimer's?
The lifespan of a healthy neuron.
What is over 100 years?
The one-word term given to all the biological information collected about Alzheimer's.
What is data?
The only software that gets smarter at the job it's doing the more it does it.
What is machine learning, a branch of AI?
The reason Alzheimer's matters to everyone.
What is the number of people suffering from AD is expected to TRIPLE by 2050?
The current cost of Alzheimer's and other dementia's in the US.
What is $305,000,000,000?
The lifespan of a neuron in an AD patient.
What is neurons immediately begin dying as toxins build up and neurons get tangled
The combination of biology and computer science.
What is bioinformatics?
The current possible application of this tech.
What is pattern recognition software that recognizes early signs of AD in brain scans years before a diagnostician could?
The percentage of primary care physicians who think we aren't ready for the growing AD crisis.
What is FIFTY PERCENT?
The main risk factor for Alzheimer's.
What is age?
The origin of neuron death in AD patients.
What is the hippocampus?
The system we need to analyze all this data.
The difference between this tech and Skynet.
What is machine learning can't become sentient, that will never change.
The estimated cost of Alzheimer's on the US in 2050.
What is over a TRILLION dollars?
The number of Americans with Alzheimer's.
What is 5.8 million?
The two proteins researchers find abnormally high levels of in AD patients.
What are tau and beta-amyloid?
The accuracy of an early diagnosis from pattern recognition software.
What is over 90% accurate in some studies?
The future possible applications of this tech.
What is software that uses patterns in gene interactions to assess a person's likelihood of developing Alzheimer's?
The personal benefit of an early diagnosis.
What is an opportunity to take part in trials, time to plan, and prepare?
The number of Americans voluntarily caring for AD patients.
What is 16 million?
The reason biology can't solve this alone.
What is humans can't analyze all this data like a computer can?
The reason computers are better at analyzing this data than humans.
What is Alzheimer's requires analyzing a patient's full medical history to make an early diagnosis.
The downside of machine learning.
What is inaccurate or unrepresentative data ruins ALL results, not just one or two.
The societal benefit of an early diagnosis.
What are better, bigger clinical trials, more preparedness, and understanding of AD?