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

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

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

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

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Researchers at the Agricultural University of Athens (AUA), a partner in the ANIPH project, published a study that helps ...

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

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 ...

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

The gut microbiome is not a mere spectator but an active player in colorectal cancer (CRC), driving tumor initiation and ...

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

Over the past two decades, high‑throughput sequencing has dramatically expanded our understanding of the gut microbiome's composition.