CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced.

Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural language processing tasks, which plays a vital role in biomedical research. Although MCN in English has achieved significant research achievements, Chinese medical concept normalization (CMCN) remains insufficiently explored due to its complex syntactic structure and the paucity of Chinese medical semantic and ontology resources. In recent years, deep learning has been extensively applied across numerous natural language processing tasks, owing to its robust learning capabilities, adaptability, and transferability.

Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection.

Beyond high accuracy, good interpretability is very critical to deploy a face forgery detection model for visual content analysis. In this paper, we propose learning patch-channel correspondence to facilitate interpretable face forgery detection. Patch-channel correspondence aims to transform the latent features of a facial image into multi-channel interpretable features where each channel mainly encoders a corresponding facial patch.

Xuesaitong injection treating acute myocardial infarction: A systematic review and meta-analysis.

Background: Although the incidence of acute myocardial infarction (AMI) is decreasing, the mortality in AMI patients remains substantial. Traditional Chinese medicine has shown its role in the prevention and management of AMI. The purpose of this study is to evaluate the clinical efficacy of Xuesaitong injection (XST) for the treatment of AMI by a meta-analysis.

Traditional Chinese medicine for acute coronary syndrome: A meta-analysis of clinical manifestations and objective indicators.

Background: Modern clinical trials and experimental researches of traditional Chinese medicine (TCM) have been conducted for decades and provided support for the prevention and treatment of acute coronary syndrome (ACS). However the level of evidence and the proper application of TCM were still barely satisfactory.

Methods: In this study, we divided ACS into 3 different stages, including unstable angina, acute myocardial infarction, and post myocardial infarction.

Effective Antitumor of Orally Intestinal Targeting Penetrating Peptide-Loaded Tyroserleutide/PLGA Nanoparticles in Hepatocellular Carcinoma.

Purpose: Hepatocellular carcinoma (HCC) is a common malignant tumor that seriously threatens human life and health. Currently, the majority of antitumor drugs are administered in an injectable manner, which can cause pain and side effects to patients. Objective of this study is to establish an effective oral drug delivery system for anti hepatoma drugs.

kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing.

Background: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutations "violent storm", which is just what the Greek word "kataegis" means.

Effect and mechanism of actionof cyclodextrin derivative nanoparticles loaded with tyroserleutide on hepatoma.

In this study, a cyclodextrin derivative (R6RGD-CMCD) nanoparticle with tumor targeting and cell penetration ability was successfully synthesized and loaded with tyroserleutide (YSL) to obtain YSL-loaded nanoparticles (YSL/R6RGD-CMCD NPs). The characterization of these NPs revealed a smooth surfaces and an average diameter of approximately 170 nm. YSL/R6RGD-CMCD NPs increased the NP uptake in Caco-2 cells.

Design and Investigation of Penetrating Mechanism of Octaarginine-Modified Alginate Nanoparticles for Improving Intestinal Insulin Delivery.

The aim of the study is to design octaarginine (R8)-modified insulin-alginate nanoparticles (INS-SA/R8 NPs) as the oral insulin delivery system, and further investigate its penetrating mechanism. The characterization results indicated that the surface of INS-SA/R8 NPs was smooth and the average diameter was about 300 nm. INS-SA/R8 NPs exhibited a stronger stability in the simulated gastrointestinal fluids and had a better controlled release than unmodified alginate nanoparticles (INS-SA NPs).

Multifunctional nanoparticles of paclitaxel and cyclodextrin-polypeptide conjugates with anticancer activity.

In this study, the cyclodextrin polypeptide (R8-CMβCD) was successfully synthesized by the conjugation of a cell-penetrating peptide (R8) with carboxymethyl-β-cyclodextrin (CMβCD) via the carbon diamine reaction. Then, paclitaxel-loaded nanoparticles (PTX@R8-CMβCD NPs) was prepared. Results of transmission electron microscopy (TEM) showed that PTX@R8-CMβCD NPs were spherical with smooth surfaces and an average diameter about 144 nm.

Effects of lifestyle interventions on rural patients with type 2 diabetes mellitus.

Background: The prevalence of type 2 diabetes mellitus (T2DM) is rising rapidly in rural areas, and lifestyle interventions can effectively reduce the blood glucose levels of patients with T2DM. However, current dietary and exercise guidelines are still at experimental stages and are difficult for subjects to understand and implement. The Human Metabolism Analyzer provides real life interventions for the prevention and treatment of T2DM, and our pilot research has demonstrated its effectiveness and good compliance.

Collagen/Chitosan Complexes: Preparation, Antioxidant Activity, Tyrosinase Inhibition Activity, and Melanin Synthesis.

Bioactive collagen/chitosan complexes were prepared by an ion crosslinking method using fish skin collagen and chitosan solution as raw materials. Scanning electron microscopy observation confirmed that the collagen/chitosan complexes were of a uniform spherical shape and uniform particle size. The complexes were stable at different pH values for a certain period of time through swelling experiments.

Distilling Channels for Efficient Deep Tracking.

Deep trackers have proven success in visual tracking. Typically, these trackers employ optimally pre-trained deep networks to represent all diverse objects with multi-channel features from some fixed layers. The deep networks employed are usually trained to extract rich knowledge from massive data used in object classification and so they are capable to represent generic objects very well.

Oligoarginine mediated collagen/chitosan gel composite for cutaneous wound healing.

In this study, the collagen/chitosan gel composite supplemented with a cell-penetrating peptide (CPP) (Oligoarginine, R8) was prepared. Then, the physicochemical properties of the new collagen/chitosan/CPPs gel obtained were analyzed and the related characteristics were evaluated by scanning electron microscopy (SEM), fourier transform infrared (FTIR), differential scanning calorimetry (DSC), differential thermal analyzer (DTA). Furthermore, we found that collagen/chitosan/CPPs gel composite was capable of inhibiting Staphylococcus aureus growth and had good ability to heal wounds.