Results 171 to 180 of about 17,774 (277)

Novel Vascularized Human Liver Organoids for Modeling Alcohol‐Induced Liver Injury and Developing Hepatoprotective Therapy

open access: yesAdvanced Science, EarlyView.
This study successfully engineered vascularized liver organoids (3HLOs) by co‐culturing human reprogrammed hepatocyte‐like cells (hrHLs) with human umbilical vein endothelial cells (HUVECs) and human umbilical mesenchymal stem cells (HUMSCs). Upon implantation, the 3HLOs established functional vascular anastomosis with the host circulation and ...
Kangdi Yang   +13 more
wiley   +1 more source

AGN Reverberation Mapping [PDF]

open access: green, 2016
Misty C. Bentz
openalex   +1 more source

A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness

open access: yesAdvanced Science, EarlyView.
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger   +17 more
wiley   +1 more source

Point-of-care ultrasound (POCUS) diagnosis of rib fractures. [PDF]

open access: yesWorld J Emerg Surg
Abu-Zidan FM, Alao DO, Cevik AA.
europepmc   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 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

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