Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
This Clinical Chemistry and Laboratory Medicine review examines a central challenge in precision medicine: whether medical ...
The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Abstract: Precision marketing of e-commerce has become a topic of common concern for scholars at home and abroad. This paper proposes an e-commerce precision marketing model for naive Bayes and random ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Abstract: Despite the popularity of graph neural networks, perturbed graph data is still a serious threat towards its inherent vulnerabilities. Adversarial examples can still easily manipulate the ...
In recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease ...
Please provide your email address to receive an email when new articles are posted on . AI improved accuracy of HER2 breast cancers with reference scores. AI decreased misclassification of HER2-low ...
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