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Useful Genetics Resource – FoundMyFitness SNP report
Last December, I sent a sample of my saliva to the genetics company 23andMe. A few weeks later, they sent me a pretty interesting report, containing information on my health and ancestry. In addition to this report, they also provided me with a file containing my raw genetic data.
Although 23andMe doesn’t tell you anything about what the majority of this data might mean in their reports, other sites can. One such site is FoundMyFitness.com which, using raw genetic data, can generate a very comprehensive report on what diseases and conditions you might be at risk for. Using this report, you can make dietary and lifestyle changes, based on your genetics. I just ran my raw data through their system and got a bunch of great information on what tendencies and conditions my genes are associated with. Pictures of a few of my variations and recommendations are attached below.
- The link in the title of this section has some excellent information on genes, genetic testing, and other key terms that might be a bit foreign if you haven’t taken a biology class recently.
- If you want to use 23andMe or the genetic report on FoundMyFitness.com, but are struggling to do so, shoot me an email and I’ll send you some videos that will walk you through the whole process.
- Sorry for the poor image quality. If you squint you should probably be able to see the text.
Screenshots of my report:
A few aerospace companies I’m excited about – Gravity and Opener
Although personal aerial vehicles have often failed to live up to the hype surrounding them, I’m hopeful that the companies below might break this trend. My optimism is largely fueled by the fact that the computers and batteries are more powerful/energy dense than they have ever been before, and their capabilities continue to increase at an astounding rate. Fingers crossed.
Great application of AI / Machine Learning: Breast Cancer Prediction
Researchers at MIT have created a machine learning algorithm that can accurately predict whether a woman will go on to develop breast cancer, even five years into the future. They did so by “showing” the algorithm over 60,000 mammograms, some from women who did not go on to develop breast cancer, and some from women who did. The algorithm was eventually able to pick up on the image patterns that were predictive of cancer development. To read more about this algorithm, click here. If you want to learn more about machine learning and how it works, you can check out the machine learning page on this blog, where I’ve attached a few videos on the topic.