Wearable Data and Network Science Team Up to Predict Depression in College Freshmen
A 16-week wearable-based cohort study will use network science and compositional data analysis to track how daily sleep, sedentary time, ...
A 16-week wearable-based cohort study will use network science and compositional data analysis to track how daily sleep, sedentary time, ...
A prospective study of 96 knee replacement patients shows that digital radiography metal artifact reduction software significantly improves image quality ...
New single-cell microscopy reveals that E. coli immediately halts growth when carbon runs out and uses the first hours of ...
Researchers have mapped the complete family structure of two-impulse tangential phasing maneuvers for a 2:1 distant retrograde orbit, using symmetry ...
In vivo CRISPR screens reveal that the epigenetic enzyme DNMT3A can both preserve and suppress tumor immune visibility, reshaping how ...
NanoTS, a new deep learning tool published in Nature Methods, enables accurate SNP detection and genotype calling from nanopore long-read ...
A new context-aware semantic similarity method substantially improves unsupervised word sense disambiguation without requiring annotated training data.
Springer Nature has launched Discover Informatics, a fully open access, peer-reviewed journal aiming to connect informatics research across healthcare, climate ...
A new study links fibroblast-derived migrasome programs and the protein TSPAN4 to gastric cancer progression and builds a highly accurate ...
A new adaptive multi-task neural network called AXMLN dramatically improves radio signal detection at extremely low signal-to-noise ratios, providing a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine