Discover and read the best of Twitter Threads about #geroscience
Most recents (4)
I asked chat-GPT to help me write a tweet thread on how it can help accelerate progress in geroscience. Here’s what she came up with… 👇
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"Exciting news! #ChatGPT is being used to accelerate progress in the field of #geroscience. The ability to understand and generate human-like text allows for efficient data analysis and novel research opportunities. #AI #HealthTech
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"Did you know that #ChatGPT can assist scientists in the field of #geroscience with tasks such as data analysis and literature review? This technology has the potential to speed up discoveries and developments in the fight against age-related diseases. #AI #HealthTech
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The best opportunity to end cancer as we know it is through targeting the biology of aging, something that is feasible today. It's time to leave behind the one-disease-at-a-time approach and embrace 21st Century Medicine #geroscience @EricLander46 @POTUS 
@EricLander46 @POTUS Cancer was the second leading cause of death behind heart disease in the US in 1971 when the War on Cancer was declared. Cancer is still the second leading cause of death behind heart disease in 2021
jamanetwork.com/journals/jama/…
jamanetwork.com/journals/jama/…
COVID-19 may end up being the 3rd leading cause of death in 2021. Death from COVID-19 is strongly age-related, just like cancer, heart disease, Alzheimer's disease, kidney disease, diabetes, ...
New paper on the evolution of #aging out! The first systematic review of the presence of the various known mechanisms of aging across the tree of life, the goal being to provide #geroscience and #biogerontology with a more solid framework. 1/10
frontiersin.org/articles/10.33…
frontiersin.org/articles/10.33…
The evolution of aging has been addressed at a general or theoretical level by major scientists, but no one had tried yet to address the basic question of the order of apparition of the various mechanisms of aging during evolution, with a focus on human aging. 2/10
The paper is based on a common hypothesis on the order of clades from cellular organisms to bilaterians. It also starts with the well-known hallmarks of aging but proposes a more precise decomposition into 20 specific hallmarks of aging (instead of the 9 generic hallmarks). 3/10
A few days ago I chose to call out a misleading Tweet by my friend and colleague @lamminglab that appears to endorse a flawed interpretation of a new study testing the effects of rapamycin on bone in young mice:
You may wonder, what’s the point?
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You may wonder, what’s the point?
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IMO, one reason for being on Twitter as an expert in #geroscience is to try to prevent misconceptions and misinterpretations that have the potential to damage the field. This appears to me as a classic example of how misinterpretation can potentially do great harm
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The study in question used very young mice that are still growing to test the effects of rapamycin on bone. They found that the mice receiving rapamycin had lower bone density. Importantly, no evidence for lower bone quality or bone frailty, but that was not discussed.
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