In its primary application, mitosis detection in digital pathology, the system achieves strong predictive performance while maintaining 96% fidelity between predictions and explanations. Each decision ...
This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...
There are three technical enablers “that repeatedly separate successful [AI] deployments from stalled pilots: trustworthy data pipelines, fit-for-purpose model selection, and lifestyle governance,” ...
Although the original Phase 3 A4 trial showed no statistically significant overall benefit for solanezumab (a humanized monoclonal antibody designed to treat Alzheimer’s disease by binding to and ...
A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The landscape of technology is in a perpetual state of ...
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results