Abstract: Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks ...
The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
The benefit of PARP inhibitors varied significantly based on the tumor's molecular profile, particularly its homologous recombination repair capability. While patients with deficiencies in this ...
Delicate features, uneven surfaces, and extreme density make it difficult to manage probe force and ensure reliability.
The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...
Abstract: High-order correlations, which capture complex interactions among multiple entities, extend beyond traditional graph representations and support a wider range of applications. However, ...
ABSTRACT: Rice yield gap minimizing strategies can boost rice production, ensure our food security, and growth in the agriculture sector. The objectives of this study were to describe the selected ...
Microsoft launches Copilot Mode in Edge, introducing multi-tab AI analysis, voice navigation, and more features in development. Copilot Mode brings AI tools to Microsoft's Edge browser Available tools ...
This manuscript describes methods and software, called SMARTR, to map neuronal networks using markers of neuronal activity. They illustrate their approach using tissue from mice that have undergone ...
Background: Oral squamous cell carcinoma (OSCC) is a challenging malignancy with poor prognosis despite therapeutic advancements. This study seeks to derive a precise molecular subtyping and ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...