A University of Pennsylvania professor warns AI's wage gains may soon reverse as automation reaches 37% of intelligence tasks.

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Understand the risks of encrypted AI traffic exposure and explore practical steps users and cloud providers can take to stay ...

The newest research from Southeast Asia shows AI models can predict dengue outbreaks two to four weeks in advance. In some ...

A new study has unveiled one of the most accurate corporate credit risk forecasting models to date. This study is a result of collaboration among quantitative finance experts from data and AI leader ...

XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Background: Cardiovascular disease (CVD) is the leading cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), yet traditional risk predictors remain ...

Abstract: Efficient logistics and transportation systems are essential for reducing post-harvest losses and enhancing supply chain performance in agriculture. This research introduces an IoT-enabled ...