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As a physician scientist caring for older adults in New York City during the peak of the COVID-19 pandemic, I reflect on my experiences, the stark contrast in resource availability between hospitals and nursing homes, and the scientific opportunities and challenges for aging research.
Non-traditional model organisms can facilitate discovery when their natural properties provide insight into biological mechanisms that are invariant across standard-use lab species. Long-lived naked mole-rats provide such insights for healthy aging.
We are excited to launch Nature Aging, a journal whose mission is to publish some of the most important and timely research from across the entire aging research spectrum and be a nexus for the diverse communities working on aging.
The COVID-19 pandemic highlights how elder-care facilities have failed to protect older adults in many countries — investing in home care while also reimagining facility-based models is required.
Recent advances in deep learning enabled the development of AI systems that outperform humans in many tasks and have started to empower scientists and physicians with new tools. In this Comment, we discuss how recent applications of AI to aging research are leading to the emergence of the field of longevity medicine.
The increase in multidisciplinary research in the field of aging has many benefits and should be further applied to better understand and possibly reverse the stalled increase in life expectancy as well as growing social inequalities in life expectancy in many countries.
Actions are needed by national and local governments, businesses and community organizations to rise to the challenge of the age shift as part of the UN Decade of Healthy Ageing.
The NIA (part of the NIH) is one of the leading funders of aging and age-related disease research worldwide. Last fall, Nature Aging spoke to Luigi Ferrucci, its Scientific Director since 2011, to get his thoughts on the field and learn about the institute’s agenda and future plans for intramural and extramural aging research.
