Artificial intelligence has been advancing in fields including anesthesiology. This sco**
review of the intersection of artificial intelligence and anesthesia research identified and …

The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …

Secondary use of electronic health records (EHRs) promises to advance clinical research
and better inform clinical decision making. Challenges in summarizing and representing …

Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …

Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Topic modeling is a Natural Language Processing technique that has gained popularity over
the last ten years, with applications in multiple fields of knowledge. However, there is …

Human prescription drug labeling contains a summary of the essential scientific information
needed for the safe and effective use of the drug and includes the Prescribing Information …

Text mining is an important research direction, which involves several fields, such as
information retrieval, information extraction, and text categorization. In this paper, we …

Game theory provides a rigorous mathematical approach to evaluate and predict
stakeholders' interactions. Even though the construction industry is rich with encounters …