Open-source software program analyzing biological data on aging and longevity with artificial intelligence tools
Methuselah is an open-source software program focused on research into extending the healthy human lifespan. It was created by a non-profit medical research organization dedicated to understanding the biological mechanisms of aging and finding interventions that can slow aging and extend healthy lifespans.
The software uses artificial intelligence and machine learning tools to analyze large datasets related to genetics, cell biology, animal models, and data from longitudinal studies of aging in humans. Some of the specific techniques used include deep neural networks, natural language processing, and graph algorithms to find patterns in biological data related to the aging process.
The goal of the Methuselah software is to accelerate anti-aging research by enabling researchers around the world to better understand the biological drivers of aging and test theories about interventions that may slow aging. The software helps generate hypotheses and models of aging that researchers can validate in the lab. Over time as more data is added, the software is intended to become an invaluable tool for aging research.
The Methuselah software is free and open-source, allowing researchers to use, modify, and extend it. As the longevity research community coalesces around this open platform, it could enable breakthrough discoveries in this important emerging field.
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