A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

You are able to gift 5 more articles this month. Anyone can access the link you share with no account required. Learn more. Mike Brown, head of campus sustainability at Portland Museum of Art, stands ...

Tesla is preparing to launch a stripped-down version of its popular Model Y, internally known as E41, targeting customers with tighter budgets. The move marks a departure from the brand’s premium ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...

Asan Medical Center has introduced an advanced version of its elderly frailty score, which can now predict more risks associated with hospitalisation. The Acure Geriatric Risk Scale builds on the ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Background: Although identifying factors contributing to aggressive behavior in individuals with schizophrenia is crucial for developing targeted prevention strategies and intervention, most studies ...

The newly developed model has an area under the curve of 0.807 for predicting progression-free survival. A prediction model incorporating genomic and pathological data can be used to improve ...

Abstract: Flexible loads, particularly those related to temperature control, represent a valuable resource for frequency regulation. With the substantial integration of renewable energy sources, the ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...