Results 201 to 210 of about 309,621 (292)

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

open access: yesAdvanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol   +17 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

Hump‐Shaped Relationship Between Microbial Carbon Use‐Efficiency and Soil Organic Carbon in Alpine Grasslands

open access: yesAdvanced Science, EarlyView.
On the Qinghai–Tibetan Plateau, microbial carbon use efficiency (CUE) peaks at intermediate soil organic carbon levels and declines thereafter. In carbon‐rich soils, the formation of stable mineral‐associated organic carbon is decoupled from microbial CUE.
Yuting Wang   +8 more
wiley   +1 more source

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