A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...

Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...

A Nanyang Technological University scholar has introduced a four-dimensional framework to help students engage with AI in ways that preserve intellectual agency. The model moves learners from ...

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...

Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...