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

The image shows the proposed IoT-enabled real-time building fire detection system, integrating MQ-2 smoke sensing, DHT11 temperature and humidity sensing, NodeMCU ESP8266 control, relay-based alarm ...

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

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

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

Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...

A noninvasive blood-based test identified cases of endometriosis that were missed by imaging, data at the Endocrine Society ...

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 ...

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

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