Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

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

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Seeking to empower smallholder farmers, an Asia Pacific University of Technology & Innovation (APU) duo devised a solution ...