Abstract: Computational methods for predicting drug-target binding affinity (DTA) are critical for large-scale screening of prospective therapeutic compounds during drug discovery. Deep neural ...
A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves ...
In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...
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Abstract: Edge computing enables distributed machine learning models to be deployed and trained near the user space. However, the intricate nature of edge computing raises several challenges to ...
Background: Lung adenocarcinoma is the most prevalent lung cancer type, with a 5-year survival rate for advanced patients below 20%. This study aims to develop a risk model to guide treatment for ...
Aging bridges worldwide face growing safety challenges due to extended service life and environmental stressors. However, most existing studies lack a systemic perspective and mainly rely on ...
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