Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
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 ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
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