AI Reveals Which Children Benefit Most From Obesity Prevention Programs
A causal machine learning framework applied to seven community-based childhood obesity prevention programs involving over 7,000 children reveals that intervention ...
A causal machine learning framework applied to seven community-based childhood obesity prevention programs involving over 7,000 children reveals that intervention ...
A systematic review of 128 observational studies finds that evidence of climate change impacts on Mediterranean-type ecosystems is heavily skewed ...
A new Letter to the Editor in the Journal of Clinical Sleep Medicine challenges the model specification and causal interpretation ...
A new causal graph neural network filters out camouflaged neighbour signals in transaction graphs, outperforming seven baselines on Bitcoin, YelpChi, ...
A new BMC Medicine debate article challenges The Lancet's series on ultra-processed foods, arguing that the Nova category is too ...
A causally enhanced machine learning model from China predicts cumulative live birth rates in IVF and identifies modifiable factors and ...
A Swedish study of nearly three million people finds that the elevated risks of suicide, violent offending, and victimization among ...
A longitudinal study of nearly 7,000 bereaved older women in the Nurses' Health Study II found that religious coping showed ...
A systematic benchmark shows that widely used microbiome mediation methods produce inflated false discoveries under compositional effects, prompting a new ...
A first-of-its-kind causal study of all Italian municipalities finds that opening a nursery significantly boosts net migration in remote inner ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine