Longevity > Introduction to Longevity
Introduction to Longevity
We live in the age of data. The ability to process ever larger volumes of data quickly is transforming every aspect of our lives and our health.
It is becoming increasingly possible to gain a clear understanding of the individual biological mechanisms that occur at the cellular level as we age. A rapidly growing number of tools, preventive measures, and therapies against human aging are being developed. At sweet skin and 121.000, our approach to longevity focuses on prevention rather than merely treating conditions after they arise. This perspective is in stark contrast to the traditional view in healthcare, where aging is seen as inevitable, and individual diseases and their symptoms are treated. Longevity medicine and research complement and enhance our established tools as physicians and dermatologists, expanding our ability to guide our clients towards a longer and healthier life.
Towards individual preventive medicine
The fact that our cells age is a major factor in the development of chronic diseases such as various forms of cancer, parkinson, diabetes etc. Longevity research has a key hypothesis: By preventing aging, we can also prevent the onset or lower the gravity of various chronic diseases.
In other words: solving the mystery of aging would also benefit our overall health by treating the root cause of aging rather than individual diseases. Armed with this knowledge, we are then able to slow down our biological aging process and thus the progression of age-related disability and diseases based on individual level biomarkers. To put it differently: we are increasingly able to influence our biological age.
Our biological age
Numerous tools for early diagnostics and (root cause) prevention of diseases have been developed.
In this context the term “biological age” has been coined. Biological age differs from chronological age. While chronological age is simply determined by the number of years since a person was born, biological age refers to a person's actual functional age using various biological parameters. Especially in the preventive medicine context, the biological age is much more useful but also harder to assess until recently.
Measuring our biological age – “Age clocks”
Biological age is measured using an ever-growing number of biomarkers for an individual, utilizing powerful artificial intelligence and machine learning tools. At sweet skin and 121.000, we refer to groups of biomarkers as "age clocks." Age clocks are based on large amounts of actual clinical data and use deep learning and artificial intelligence to measure a person's personal aging status. Examples include deep learning-based photoaging clocks, blood profiles, and epigenetic profiles.
Biological age can be influenced by lifestyle factors such as a balanced diet, activity levels, or preventive measures like supplements or topical applications that affect aging biomarkers. With the right lifestyle changes, it is possible to achieve a younger biological age than one's chronological age. To optimize biological age, we develop personalized longevity paths for our clients to positively impact both overall biological age and skin age.
Through collaboration with our sister company 121.000, we combine proven Swiss dermatology with the latest scientifically-backed longevity technologies and measures, ensuring we effectively integrate both preventive and curative approaches into your longevity journey. Therefore, professional dermatological skin screenings at sweet skin are included in our 121.000 longevity journeys.
Learn more about our holistic and comprehensive longevity offerings at 121.000.
Sources
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The Lancet: Longevity medicine: upskilling the physicians of tomorrow
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Statista: Average life expectancy in industrial and developing countries for those born in 2021
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NCBI: The Biology of Senescence
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NCBI: Medicine, ageing and human longevity
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Springer: The Geroscience Hypothesis: Is It Possible to Change the Rate of Aging?
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PubMed: Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity
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Aging Us: Deep learning algorithms for development of non-invasive visual biomarkers of aging