OBJECTIVE: Age-related macular degeneration (AMD) is a retinal disorder that significantly impairs vision. This study investigates various machine learning models for predicting AMD risk, laying the groundwork for further research using big data and ...
Food safety monitoring is crucial due to the widespread use and potential toxicity of synthetic food colorants. High-sensitivity techniques such as chromatography are routinely employed but require costly equipment and skilled operators. Here we show...
Frequency-dependent impedance spectroscopy in combination with machine learning offers a powerful strategy for discriminating among gas species using mutually interacting semiconductor metal oxide (SMO) gas sensors. In this study, 0.3 at% platinum-lo...
Journal of chemical information and modeling
Nov 3, 2025
Recent years have witnessed major advances in polymer informatics, yet accurately predicting polymer properties, such as the glass transition temperature (), remains a challenge. Language models like BERT have been leveraged to derive embeddings from...
Journal of chemical information and modeling
Nov 3, 2025
Artificial intelligence (AI) is reshaping computational science, but AI-driven workflows routinely span heterogeneous tasks executed across diverse high-performance computing (HPC) systems. We introduce DPDispatcher, an open-source Python framework f...
Proceedings of the National Academy of Sciences of the United States of America
Nov 3, 2025
Self-assembling protein nanoparticles are being increasingly utilized in the design of next-generation vaccines due to their ability to induce antibody responses of superior magnitude, breadth, and durability. Computational protein design offers a ro...
BACKGROUND: Low birth weight (LBW), defined as a newborn weighing less than 2500 g, is an increasingly significant public health concern. Exploring the risk and protective factors for LBW is getting more and more important. This study aimed to utiliz...
BACKGROUND: Reactivation of latent tuberculosis infection (LTBI) is a major obstacle to tuberculosis eradication. Predicting LTBI relapse is crucial for effective disease management but remains underexplored.
Accurately identifying genes responsible for specific functions is a cornerstone of biological research, but current methods are often limited to single-species analyses. Here, we present a novel method, called Genomic and Phenotype-based machine lea...
Red Palm Weevil(RPW) infestation is a major challenge in palm production, often remaining undetected until severe internal damage has occurred. This proposed work presents a novel non-invasive auditory detection system that combines advanced signal p...
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