Results 71 to 80 of about 491,812 (319)
Hydrogel Loaded with Extracellular Vesicles: An Emerging Strategy for Wound Healing
An increasing number of novel biomaterials have been applied in wound healing therapy. Creating beneficial environments and containing various bioactive molecules, hydrogel- and extracellular vesicle (EV)-based therapies have respectively emerged as ...
Yucan Yang+10 more
doaj +1 more source
Acute Liver Injury Is Independent of B Cells or Immunoglobulin M. [PDF]
Acute liver injury is a clinically important pathology and results in the release of Danger Associated Molecular Patterns, which initiate an immune response.
James A Richards+10 more
doaj +1 more source
Objective To investigate the risk factors of liver injury in patients with neuromyelitis optica spectrum disorders (NMOSDs) after intravenous methylprednisolone (IVMP).
YANG Qing⁃lin +2 more
doaj +1 more source
Role of liver enzymes in patients with blunt abdominal trauma to diagnose liver injury
Background The liver is the second most injured organ following blunt abdominal trauma (BAT) after the spleen. Although the computed tomography (CT) scan is considered as the gold standard for diagnosing liver injury in BAT, it may not readily available ...
Anup Shrestha+4 more
doaj +1 more source
Objective Polygoni Multiflori Radix (PM, He-Shou-Wu), is used as a reputable tonifying traditional Chinese medicine for a long time. However, in recent years, the liver injury caused by PM or its preparations attracted wide attention.
Ren Hongwei+9 more
doaj +1 more source
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining [PDF]
Accurately labeling biomedical data presents a challenge. Traditional semi-supervised learning methods often under-utilize available unlabeled data. To address this, we propose a novel reliability-based training data cleaning method employing inductive conformal prediction (ICP).
arxiv
Liver segmentation and metastases detection in MR images using convolutional neural networks [PDF]
Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks (CNN) to detect liver metastases. First, the liver was automatically segmented using the six phases of abdominal dynamic contrast enhanced (DCE) MR
arxiv +1 more source
SLC7A11 frequently migrates faster in SDS‐PAGE. The present study found that the high hydrophobicity of SLC7A11 causes its anomalous migration in SDS‐PAGE with a low concentration of acrylamide gel. Replacing isoleucine with asparagine reduced hydrophobicity and restored its normal migration at 55 kDa, revealing the role of hydrophobicity and gel ...
Nsengiyumva Emmanuel+13 more
wiley +1 more source
Hepatocellular carcinoma: pathogenesis, molecular mechanisms, and treatment advances
Hepatocellular Carcinoma (HCC), a highly prevalent malignancy, poses a significant global health challenge. Its pathogenesis is intricate and multifactorial, involving a complex interplay of environmental and genetic factors.
Zhixian Ding+11 more
doaj +1 more source
The liver is an exclusive organ with tremendous regenerative capacity. Liver metabolic functions exhibit spatial heterogeneity, reflecting liver zonation.
Atsushi Miura+2 more
doaj +1 more source