Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

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

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...