AIMC Topic: Reactive Oxygen Species
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Machine Learning-Assisted High-Throughput Screening of Nanozymes for Ulcerative Colitis.
Advanced materials (Deerfield Beach, Fla.)
Jan 12, 2025
Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. Due to the recurrent and difficult-to-treat nature of UC symptoms, current pharmacological treatments fail to meet patients' expectations. This study ...
Interpretable Machine Learning Models Delivering a New Perspective for the Reaction Mechanism between Organic Pollutants and Oxidative Radicals.
Environmental science & technology
Jan 7, 2025
Machine learning (ML) is expected to bring new insights into the impact of organic structures on the reaction mechanisms in reactive oxygen species oxidation. However, understanding the underlying chemical mechanisms still faces challenges due to the...
Active Microrobots for Dual Removal of Biofilms via Chemical and Physical Mechanisms.
ACS applied materials & interfaces
Jan 2, 2025
Bacterial biofilms are complex multicellular communities that adhere firmly to solid surfaces. They are widely recognized as major threats to human health, contributing to issues such as persistent infections on medical implants and severe contaminat...
Preparation, characterization, and protective effects of carbon dots against oxidative damage induced by LPS in IPEC-J2 cells.
Frontiers in cellular and infection microbiology
Dec 18, 2024
This study aimed to prepare carbon dots (GF-CDs) and examine their efficacy in mitigating oxidative stress and apoptosis in intestinal porcine epithelial cells from the jejunum (IPEC-J2 cells) induced by lipopolysaccharide (LPS). The GF-CDs were syn...
Deep learning-assisted surface-enhanced Raman spectroscopy detection of intracellular reactive oxygen species.
Talanta
Nov 15, 2024
Realizing the intelligent analysis of the intracellular reactive oxygen species (ROS) is beneficial to quick diagnosis of diseases. Herein, surface-enhanced Raman spectroscopy (SERS) technology was combined with deep learning to establish a smart det...
Based on T.E.S.T toxicity prediction and machine learning to forecast toxicity dynamics in the photocatalytic degradation of tetracycline.
Physical chemistry chemical physics : PCCP
Nov 13, 2024
The integration of photocatalysis and biological treatment provides an effective strategy for controlling antibiotic contamination, which requires precise monitoring of toxicity changes during the photocatalytic process. In this study, nanoscale TiO ...
Hierarchical multi-task deep learning-assisted construction of human gut microbiota reactive oxygen species-scavenging enzymes database.
mSphere
Jul 12, 2024
In the process of oxygen reduction, reactive oxygen species (ROS) are generated as intermediates, including superoxide anion (O), hydrogen peroxide (HO), and hydroxyl radicals (OH). ROS can be destructive, and an imbalance between oxidants and antiox...
Machine learning-aided evaluation of oxidative strength of cold atmospheric plasma-treated water.
Biomedical physics & engineering express
May 14, 2024
Plasma medicine is gaining attraction in the medical field, particularly the use of cold atmospheric plasma (CAP) in biomedicine. The chemistry of the plasma is complex, and the reactive oxygen species (ROS) within it are the basis for the biological...
Target Cell Extraction and Spectrum-Effect Relationship Coupled with BP Neural Network Classification for Screening Potential Bioactive Components in Ginseng Extract with a Protective Effect against Myocardial Damage.
Molecules (Basel, Switzerland)
Apr 28, 2024
Cardiovascular disease has become a common ailment that endangers human health, having garnered widespread attention due to its high prevalence, recurrence rate, and sudden death risk. Ginseng possesses functions such as invigorating vital energy, en...
Design and implementation of origami robot ROS-based SLAM and autonomous navigation.
PloS one
Mar 28, 2024
In this study an innovative parameterized water-bomb wheel modeling method based on recursive solving are introduced, significantly reducing the modeling workload compared to traditional methods. A multi-link supporting structure is designed upon the...
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