How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

With the global population aging, and rising concerns about mental health, loneliness, and social isolation, understanding and enhancing later-life satisfaction has become increasingly crucial for ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Automatic for the People: What Has Machine Learning Analysis of Positron Emission Tomography Left for the Physician? The following represents disclosure information provided by authors of this ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Erratum: Randomized Comparison of Intensified Six-Drug Versus Standard Three-Drug Chemotherapy for High-Risk Nonmetastatic Rhabdomyosarcoma and Other Chemotherapy-Sensitive Childhood Soft Tissue ...