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 ...

New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...

Subscribe to our newsletter for the latest sci-tech news updates. They demonstrate that AI and machine learning-based methods have the potential to provide accurate predictions if they overcome one ...

Conclusion Our results show that machine learning models trained on tabular and graph data can enable objective, personalized, and reproducible prediction of relapse and, therefore, disease outcome in ...

The increased rate of data collection relating to athlete load has led to interest in machine learning (ML) approaches for sports data analysis, including injury risk prediction. Prior reviews have ...

However, they cannot be used in many practical settings. We propose a new class of fair machine learning algorithms that alleviate disparity in prediction results, disparity in behavior of prediction ...

To compare logistic regression (LR) with machine learning (ML) techniques for prediction of noncardia gastric cancer using electronic health records derived from two multiethnic populations.