USA: Machine learning applied to lung ultrasound images can accurately detect interstitial lung disease in patients with ...

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 ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Artificial intelligence and machine learning are increasingly used in cybersecurity to support threat detection, incident response, anomaly identification, ...