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
Biohacking to Improve Everyone's Health , the team of Biohackers intending to compete in XPRIZE Healthspan, have won some early prizes in the 2024 MEDICAL AFFAIRS INNOVATION OLYMPICS #MAIO2024 . The MAIO is organised by The Medical Affairs Professional Society and sponsored by a number of leading biotech companies including Amadea Pharma . Of all of the biotech groups proposing ideas the Biohacking Team won the "high jump" the prize for the most lofty idea. The team also got the overall bronze award in Patient Centricity. John Hemming, leader of the Biohacking Team said, "I am pleased that the MAIO recognised our proposal for improving gene expression as being the most 'idealistic, lofty concept with a vision' of the varied ideas being presented at the contest. Our challenge, of course, is to refine the proposal and demonstrate that it broadly has beneficial effects in extending healthspan." These are the main two presentations at the MAIO 202