Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
Performance evaluation of an AI-powered system for clinical trial eligibility using mCODE data standards. ATheNa-Breast: A real-world pilot of an artificial intelligence (AI) chatbot using therapy ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
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Machine learning techniques reveal a high-precision land cover map for Siberia, enhancing climatic predictions
Siberia, a province located in Russia, is a significant geographical region playing a crucial role in the world's carbon cycle. With its vast forests, wetlands, and permafrost regions (permanently ...
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