The discovery of senescent cells has revolutionized anti-aging cosmetics and redefined what aging means. Senescent cells are those that have ceased dividing, a natural process initiated in response to factors like DNA damage and cellular dysfunction. While this halts the progression of damaged cells toward cancer, the accumulation of senescent cells in tissues over time can lead to chronic inflammation and contribute to age-related diseases and the aging process, manifesting as wrinkles and loss of skin elasticity.
How has AI opened up new doors for anti-aging skin research?
The science of senolysis, selective elimination of senescent cells, offers a promising strategy for developing anti-aging cosmetic products. Provital, for instance, has pioneered research in this area, introducing Althaea rosea stem cells in 2020 as a candidate for eliminating senescent cells.
Fast forward to 2023, where the incorporation of AI technology takes this research to new heights. By leveraging AI, Provital has been able to assess the efficacy of the senolytic active, Altheostem™, in vivo. This is achieved through a cutting-edge tool that employs machine learning and neural networks to provide highly accurate estimations of age. The results demonstrate a remarkable total rejuvenating effect of 3.26 years and significant improvements in radiance, elasticity, skin thickness, and a reduction in wrinkles.
The fusion of advanced cosmetic science and AI-driven technology is propelling the development of innovative well-aging treatments. Sharing these advancements at the 33rd IFSCC Congress underscores the commitment to enhancing ingredient efficacy in the cosmetic industry. You can also use the AI platform to research longevity and anti-aging. Try longevity AI, a free longevity coach that answers questions about longevity, diets, nutrition, anti aging, and more.
AI Unveils New Horizons in Anti-Aging Research
AI is rapidly emerging as a transformative force. Collaborative efforts between researchers from the Buck Institute for Research on Aging, Google Research, and Google Health have culminated in the development of an AI-based tool known as “eyeAge” for tracking the aging process. This retinal aging clock offers a more accurate and informative assessment of aging, outperforming other aging clocks.
EyeAge focuses on the fundus, a blood vessel-rich area in the retina. A comprehensive genome-wide analysis involving over 64,000 patient samples has identified the genes influencing accelerated aging in the fundus, revealing valuable insights into the aging process. Notably, the use of AI has enabled a 71% accuracy rate in predicting the trajectory of aging based on eye changes in individuals undergoing gero-protective therapies.
This unprecedented capability far surpasses human assessment and provides a dynamic means of monitoring aging patterns. Moreover, it opens doors to assessing the response to anti-aging interventions, including promising solutions like GLYLO. EyeAge has demonstrated its potential as a game-changing tool for tracking the effects of various interventions and understanding the complexities of the aging process.
While epigenetic clocks based on DNA methylation are widely used for measuring biological age, they exhibit no correlation with eyeAge. This highlights the multifaceted nature of the aging process and emphasizes the need for diverse, complementary tests to comprehensively assess the intricate mechanisms at play within the body.
Retinal scans are common for detecting eye conditions, but they also offer valuable insights into the vascular system’s changes over time. These non-invasive scans can unveil the age-related developments in blood vessels, such as calcifications.
Unlike facial photograph-based age prediction, which is a mere visual assessment, Google’s AI utilizes retinal data invisible to the naked eye to track the aging process. This innovation holds enormous potential for both evaluating the efficacy of anti-aging interventions and understanding the intricacies of aging itself. It represents a significant leap forward in the
The integration of artificial intelligence (AI) into anti-aging research has brought about a remarkable transformation in our understanding and approach to aging. AI offers profound insights into aging processes, including senescent cell elimination and retinal-based aging clocks. These advancements are not merely theoretical; they are reshaping the landscape of practical anti-aging solutions, offering more accurate assessments and personalized interventions. As AI continues to unlock new doors for anti-aging research, it promises to enhance our quality of life, extend our healthspan, and contribute to a future where aging is understood and managed in ways previously thought impossible.
What is AI and anti-aging research unveiling in the latest drug discovery?AI and anti-aging research are revealing the latest drug discoveries. The study findings suggest that these drugs have the potential to safely and effectively eliminate senescent cells, which are associated with various conditions like cancer, Alzheimer’s disease, and age-related declines in eyesight and mobility.
Will AI solve aging?
Modern medicine recognizes aging as a set of diseases, and it claims that by using artificial intelligence (AI), we can not only slow down the aging process but also protect ourselves against aging and age-related diseases.
What anti-aging drugs did AI discover?Researchers have used AI to discover new senolytic compounds that can suppress age-related processes, such as cancer and inflammation.
What are the new anti-aging treatments?New anti-aging treatments include substances like poly-L lactic acid (PLLA), polydeoxyribonucleotides (PDRN), and exosomes, which are administered through injections or micro-needling. These treatments stimulate collagen production, promote tissue regeneration, and enhance skin vitality.
How can artificial intelligence (AI) be used in drug discoveries?AI can be used in drug discovery to predict the efficacy and toxicity of potential drug compounds. This technology helps assess a compound’s effects on the human body, reducing the need for labor-intensive and time-consuming experimentation.
What was the first drug discovered by AI?
Ins018_055 is the first AI-created drug. It has entered clinical trials.