Translational bioinformatics and data-driven biomedical research involving multi-omics profiling studies enable researchers to obtain comprehensive insights into key biological processes in health and ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

The glass transition temperature (T g) is one of the most important properties of polymeric materials and indicates an approximate temperature below which a macromolecular system changes from a ...

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...