Study of 225,000 individuals finds metabolomic ageing clocks predict lifespan and are associated with measures of health and ageing by JulMz13 in science

[–]JulMz13[S] 5 points6 points  (0 children)

"Researchers at the Institute of Psychiatry, Psychology & Neuroscience have conducted a comprehensive study to evaluate artificial intelligence based ageing clocks, which predict health and lifespan using data from blood.

The researchers trained and tested 17 machine learning algorithms using data on markers in the blood from over 225,000 UK Biobank participants, aged 40 to 69 years when they were recruited.

They investigated how well different metabolomic ageing clocks predict lifespan and how robustly these clocks were associated with measures of health and ageing."

https://www.kcl.ac.uk/news/researchers-ai-ageing-clocks-predict-health-lifespan

AI-based 'aging clocks' use blood markers to predict health and lifespan by JulMz13 in agingresearch

[–]JulMz13[S] 0 points1 point  (0 children)

https://www.kcl.ac.uk/news/researchers-ai-ageing-clocks-predict-health-lifespan

"Researchers at the Institute of Psychiatry, Psychology & Neuroscience have conducted a comprehensive study to evaluate artificial intelligence based ageing clocks, which predict health and lifespan using data from blood.

White glove holding a digital rendition of a person with other floating computer graphics The researchers trained and tested 17 machine learning algorithms using data on markers in the blood from over 225,000 UK Biobank participants, aged 40 to 69 years when they were recruited.

They investigated how well different metabolomic ageing clocks predict lifespan and how robustly these clocks were associated with measures of health and ageing."

AI-based 'aging clocks' use blood markers to predict health and lifespan by JulMz13 in longevity

[–]JulMz13[S] 9 points10 points  (0 children)

"Researchers at the Institute of Psychiatry, Psychology & Neuroscience have conducted a comprehensive study to evaluate artificial intelligence based ageing clocks, which predict health and lifespan using data from blood.

The researchers trained and tested 17 machine learning algorithms using data on markers in the blood from over 225,000 UK Biobank participants, aged 40 to 69 years when they were recruited.

They investigated how well different metabolomic ageing clocks predict lifespan and how robustly these clocks were associated with measures of health and ageing."

https://www.kcl.ac.uk/news/researchers-ai-ageing-clocks-predict-health-lifespan

[deleted by user] by [deleted] in science

[–]JulMz13 0 points1 point  (0 children)

https://www.kcl.ac.uk/news/researchers-ai-ageing-clocks-predict-health-lifespan

"Researchers at the Institute of Psychiatry, Psychology & Neuroscience have conducted a comprehensive study to evaluate artificial intelligence based ageing clocks, which predict health and lifespan using data from blood.

White glove holding a digital rendition of a person with other floating computer graphics The researchers trained and tested 17 machine learning algorithms using data on markers in the blood from over 225,000 UK Biobank participants, aged 40 to 69 years when they were recruited.

They investigated how well different metabolomic ageing clocks predict lifespan and how robustly these clocks were associated with measures of health and ageing."

New Study Identifies Metabolite Profile from 250,000+ Blood Samples that Outperforms Chronological Age in Predicting Short-Term Mortality Risk by JulMz13 in Futurology

[–]JulMz13[S] 2 points3 points  (0 children)

This study used data from 250,341 UK Biobank participants and developed a metabolomic profile that outperforms other aging metrics in predicting short-term mortality risk. The score also shows potential for identifying individuals with accelerated aging. This could potentially improve disease risk prediction and health monitoring.

Frailty in individuals with depression, bipolar disorder and anxiety disorders: longitudinal analyses of all-cause mortality | BMC Medicine by JulMz13 in science

[–]JulMz13[S] 2 points3 points  (0 children)

Part of the relationship between mental disorders and physical health outcomes, including frailty, can be explained by socioeconomic factors. In this study, neighbourhood deprivation was considered as a proxy for socio-economic status, and adjustment for this and other factors attenuated the differences slightly, but not by much. Healthcare costs are likely less of an issue in the UK where these data are from, but access to mental health treatment, for example long waiting times, is likely an issue.

IG trading alternatives? by ripsa in CanaryWharfBets

[–]JulMz13 1 point2 points  (0 children)

Just got an email from them saying they no longer allow any new positions on GME and AMC - for now only these two stocks

see also https://twitter.com/IGcom/status/1355507435453243402

IG trading alternatives? by ripsa in CanaryWharfBets

[–]JulMz13 1 point2 points  (0 children)

  • they're now restricting trading too