Results 211 to 220 of about 941,916 (317)

Contribution of Gli1+ Adventitial Stem Cells to Smooth Muscle Cells in Atherosclerosis and Vascular Injury

open access: yesAdvanced Science, EarlyView.
Gli1+ adventitial stem cells (ASCs) have been thought to generate smooth muscle cells (SMCs) in atherosclerosis. Using a dual‐recombinase lineage tracing to exclude ectopic labeling, Wang et al. found that Gli1+ ASCs do not contribute to SMCs in atherosclerotic plaques.
Haixiao Wang   +11 more
wiley   +1 more source

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

β-adrenergic modulation of discrimination learning and memory in the auditory cortex. [PDF]

open access: yesEur J Neurosci, 2019
Schicknick H   +5 more
europepmc   +1 more source

Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”

open access: yesAdvanced Science, EarlyView.
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner   +3 more
wiley   +1 more source

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