Results 231 to 240 of about 2,741,379 (327)

PRMT1 Ablation in Endothelial Cells Causes Endothelial Dysfunction and Aggravates COPD Attributable to Dysregulated NF‐κB Signaling

open access: yesAdvanced Science, EarlyView.
This study investigates the role of protein arginine methyltransferase 1 (PRMT1) in endothelial cells (ECs) in chronic obstructive pulmonary disease (COPD). Mice with endothelial‐specific PRMT1 deletion develop pulmonary hemorrhage, inflammation, and apoptosis, driven by excessive nuclear factor kappa B activation.
Thi Thuy Vy Tran   +7 more
wiley   +1 more source

Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys

open access: yesAdvanced Science, EarlyView.
Cross‐species fMRI studies reveal distinct neural mechanisms for biological motion (BM) processing. In humans, the posterior superior temporal sulcus (hpSTS) selectively responds to conspecific BM, while monkeys process BM from both species in the middle temporal area (MT).
Yuhui Cheng   +7 more
wiley   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

open access: yesAdvanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch   +4 more
wiley   +1 more source

Cost‐Effective Identification of Hepatocellular Carcinoma from Cirrhosis or Chronic Hepatitis Virus Infection Using Eight Methylated Plasma DNA Markers

open access: yesAdvanced Science, EarlyView.
Early detection of hepatocellular carcinoma in patients with liver cirrhosis and/or hepatitis virus B/C infection improves survival. Through marker discovery, 8 methylated DNA markers are identified and a logistic regression model (COMET‐LR) is built in the training set, which achieved 90.0% sensitivity at 97.4% specificity in the validation set.
Tian Yang   +16 more
wiley   +1 more source

Forecasting severe respiratory disease hospitalizations using machine learning algorithms. [PDF]

open access: yesBMC Med Inform Decis Mak
Albrecht S   +22 more
europepmc   +1 more source

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