Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

Wildfires have grown more frequent and destructive, making early detection critical to saving lives, property, and natural resources. At the same time, autonomo ...

A key finding was that most AutoML tools tended to favor tree-based models and ensembles, which often delivered high accuracy but raised concerns about interpretability and overfitting. The study ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...