Latest AI and machine learning research in prescriptions for healthcare professionals.
Despite the extensive research on medication-related adverse events (MRAEs) in healthcare, the assessment of the present scenario is made more difficult by the high degree of variability in study results. This study's primary goal was to create a current picture of what is currently known about the prevalence, risk factors, and surveillance of MRAEs in healthcare and overview of pharmacovigilance ...
This work presents an embedded solution for detecting and classifying head-level objects using stereo vision to assist blind individuals. A custom dataset was created, featuring five classes of head-level objects, selected based on a survey of visually impaired users. Object detection and classification were achieved using deep-neural networks such as YoloV5. The system computes the relative range...
The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used...
Alternative splicing (AS) occupies a central position in plant growth and development, stress response, and animal growth and disease processes. Mutat...
Understanding chemical-protein interactions (CPIs) is crucial for drug discovery and biological research, yet their complexity often challenges tradit...
The lymphatic system hosts a large number of therapeutic targets that can be used to modulate a wide range of diseases including cancers, autoimmune a...
Selection of the optimal makeup solvent composition is critical for achieving sensitive and reproducible ionization in supercritical fluid chromatogra...
Drug co-assemblies have attracted extensive attention due to their advantages of easy preparation, adjustable performance and drug component co-delive...
BACKGROUND: Passengers on the cruise ship Diamond Princess (DP), which departed Yokohama on 20 January 2020, were found to be infected with the new co...
BACKGROUND: Drug-drug interactions (DDI) are an important cause of adverse drug reactions (ADRs). Could large language models (LLMs) serve as valuable...
Topological indices are invariant quantitative metrics associated with a molecular graph, which characterize the bonding topology of a molecule. The m...
INTRODUCTION: High levels of low-density lipoprotein-cholesterol (LDL) is a major risk factor for cardiovascular diseases. While treatment with atorva...
Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there is a clinical need for dose individualization to m...
Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and chall...
BACKGROUND: CDK4/6 inhibitors plus aromatase inhibitors (AI) significantly improve the therapeutic effect of initial treatment for HR + /HER2- advance...
As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the ...
The objective of this study was to evaluate the effects of different slow-release urea (SRU) compounds on ruminal fermentation, nutrient degradation, ...
The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-lev...
Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing ro...
Evidence indicates a connection between periodontitis (PD) and systemic lupus erythematosus (SLE), though the underlying co-morbid mechanisms remain u...