What can we learn from 1,000 meta-analyses across 10 different disciplines?
doi.org/10.1017/rsm....
Max Korbmacher
🏓😊
Dürr, P., El Gheche, M., Maeda, G.J. et al. Outplaying elite table tennis players with an autonomous robot. Nature 652, 886–891 (2026). doi.org/10.1038/s415...
Fun facts about biological differences in sleep duration. But the title is misleading. Not about ageing but cross-sectional correlation.
doi.org/10.1038/s415...
pubmed.ncbi.nlm.nih.gov/42083734/htt...
What can we learn from 1,000 meta-analyses across 10 different disciplines? - Volume 17 Issue 1
A cross-organ, multi-omics U-shaped relationship between sleep duration and biological ageing clocks highlights the potential of sleep optimization to promote healthy ageing, lower disease risk and ex...
doi.org
Anatomical tumor distribution provided prognostic information beyond overall tumor burden in glioblastoma. Regional patterns expand on the anatomical basis of symptoms. The survival benefit associated...
An autonomous robot system, Ace, combines event-based vision and reinforcement learning to compete with elite human table tennis players, highlighting the potential of physical AI agents to perform co...
If a transgender patient visits a psychiatrist in a hospital, is it fair to say that they have «severe psychiatric morbidity»?
We believe research should be more rigorous.
With 49 co-authors, including: @maxkorbmacher.bsky.social @erininthemorning.com @natacha.bsky.social
@frende.bsky.social
Cognitive function at age 13 predicts dementia 60 years later, even controlling for cardiovascular and cardiometabolic risk. @KWalhovd www.medrxiv.org/content/10.6...
We just launched #GuesstheReplication (GutheR). It is a challenging game where you predict replicability based on the abstract and title of an original study.
Play it now and beat my high score at lukasroeseler.github.io/GuessTheRepl... or use our free slides for teaching zenodo.org/records/1985...
www.medrxiv.org
Anine Hartmann
Our letter of concern about the Finnish study is now published in Acta Paediatrica. The Finnish study has received a total of 5 letters/commentaries, so far. Most of the overlapping concerns are statistical/methodological.
onlinelibrary.wiley.com/doi/10.1111/...
Use of brain age models frequently lead to wrong conclusions - unfortunately it is not easy to fix. Fortunately, there are better alternatives. @edvardg.bsky.social @fmrib-steve.bsky.social @didacvp.bsky.social @maxwellelliott.bsky.social @k.b.walhovd www.medrxiv.org/content/10.6...
Interested in neuroimaging and cognition in aging and want to work with us? We have an open position @KWalhovd @LCBC_UiO 2411.webcruiter.no/Main2/Recrui...
Brain age models - machine-learning predictions of chronological age from brain imaging - are widely interpreted as markers of accelerated brain aging. Here we show that this interpretation cannot be ...
www.medrxiv.org
2411.webcruiter.no
We have a 3-year researcher position for analysing longitudinal brain MRI data in relation to cognitive- and other biomarker data.The shift to a biomarker-based definition of Alzheimer’s disease (AD) ...
