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"Wildfires in the western U.S, exert a far-reaching influence on atmospheric conditions," researcher Jiwen Fan said.

Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate change and ozone depletion, requires robust non-invasive methods to monitor its health condition. Despite the increasing use of unmanned aerial vehicles (UAVs) to acquire high-resolution data for vegetation analysis in Antarctic regions through artificial intelligence (AI) techniques, the use of multispectral imagery and deep learning (DL) is quite limited. This study addresses this gap with two pivotal contributions: (1) it underscores the potential of deep learning (DL) in a field with notably limite...

According to the analysis, eGFR, BMI, and waist circumference were the most important factors for hyperuricemia in individuals taking aspirin.

The XGBoost machine learning model outperformed other AI and logistic regression models for predicting DAA failure, with an AUROC of 1.000 in the training dataset and 0.803 in the validation dataset.

The performance of different machine learning models in detecting hepatitis among people with diabetes.