Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Although an intracranial aneurysm (IA) is widespread and fatal, few drugs can be used to prevent its rupture. This study explored the molecular mechanism and potential targets of IA rupture through ...

Sports betting has evolved from simple wagers on game outcomes into a data-driven industry built around statistical analysis and predictive modeling. One of the most influential tools in this shift is ...

Abstract: With the development of science and technology and the wide application of big data, the use of raw data for risk identification and early warning has become an effective means. This paper ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...

Abstract: Flooding is a periodic disaster that has a huge impact on both life and the economy around the world. Every year, India's flood damage numbers are measured in billions of dollars. As a ...