Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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

IOP Publishing (IOPP) is launching the world’s first series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Machine learning techniques are transforming the practice of estimating construction costs by automating pattern recognition in historical project data, improving accuracy, and quantifying uncertainty ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...

The impacts of area-level social deprivation on overall survival in patients receiving immune-checkpoint inhibitors (ICI) treatments: A retrospective cohort study.

The Nobel Prize in physics has been awarded to John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto for discoveries and inventions that formed the building ...

A colorectal biomarker think tank collaborative: Devising solutions for patients, caregivers, and cancer care teams.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...