Public health officials have long struggled to see outbreaks coming before hospitals fill up. Now a new generation of machine ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Across the world’s oceans, hydrophones are picking up intricate patterns of clicks, whistles, and pulses that do not map neatly onto any human language. Researchers are now treating these underwater ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

Abstract: Text data retrieving depends initially on the data indexing, emphasizing the role of different indexing techniques used for query processing. In this context, traditional Information ...

Background: To address gaps in global understanding of cultural and social variations, this study used a high-performance machine learning (ML) model to predict adolescent substance use across three ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

1 Department of Endocrinology, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China 2 Department of Health Management Center, Taikang Xianlin ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...