A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...
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 ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...
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 ...
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 ...
Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...
Consumer wearables have become everyday tools for monitoring sleep and physical activity. Researchers at the Centre for Sleep ...
Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...