AI in Longevity

Deep learningDeep Learning models are powerful digital tools that can analyze all kinds of biodata and provide insights that cannot be obtained with other machine learningMachine Learning techniques. An abundance of publicly available data sets promotes the development of neural networks that may be applied in agingAging research, clinical practiceClinical practice, and drug design. New deep-learning algorithms are quickly adopted by bioinformatics to create analytical and generative solutions that deepen our understanding of the agingAging process. Although medical AI applications lack regulation, the public and politicians worldwide are acutely aware of the benefits AI tools can yield in the healthcare sector thus generating demand for legislative action. Despite this organizational issue, deep-learning models are sufficiently advanced to be used as a foundation for a new age of highly personalized, quantitative, longevityLongevity-focused medicine.