Julian Mutz

Dec 19, 2024 | kcl.ac.uk | Julian Mutz |Cathryn M. Lewis |Raquel Revuelta Iniesta

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.

Aug 16, 2024 | kcl.ac.uk | Julian Mutz

The fellowship will support his research to develop a new predictor of health and lifespan using markers in the blood. Dr Julian Mutz, Research Fellow at the Social, Genetic & Developmental Psychiatry Centre within the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, is the third IoPPN researcher to receive a 2024 King’s Prize Fellowship.

Feb 11, 2024 | medrxiv.org | Julian Mutz |Raquel Revuelta Iniesta |Cathryn M. Lewis

CML is a member of the scientific advisory board of Myriad Neuroscience, has received speaker fees from SYNLAB and received consultancy fees from UCB. JM and RI declare no financial conflict of interest. This research is funded by the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London.

May 6, 2023 | jclinepi.com | Julian Mutz

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Mar 27, 2023 | inkl.com | Julian Mutz

For example, people with bipolar disorder had blood markers indicating they were around two years older than their chronological age, the study found. According to the researchers, their findings may go some way to explaining why people with mental health problems tend to have shorter lifespans and more age-related diseases than the general population. Lead researcher Dr Julian Mutz, King’s College London, said: “It is now possible to predict people’s age from blood metabolites.