Biohacking to Improve Everyone's Health Reaches Top Ten in 2nd Round of Biomarkers of Aging Competition
Biohacking to Improve Everyone's Health, the team of Biohackers intending to compete in XPRIZE Healthspan, have reached the top ten in prediction of mortality using methylation data in the second round of the Biomarkers of Aging competition. The contest aims to use data on methylation of DNA sites and other biomarkers to determine the biological age of individuals and predict outcomes such as mortality. The Biohacking team, including software developer and machine learning expert Samuel Collingwood Smith, used their own proprietary software called LearnSilver to develop their prediction models, in combination with other tools. LearnSilver is a .NET C# / C++ / CUDA software library that allows execution of complex neural networks, including recurrent networks, on consumer hardware along with efficient serialisation. The library can execute in single-threaded mode on a CPU, or multi-threaded mode and it can also leverage nVidia hardware for massively parallel operations. Sam Smit...