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 ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

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

Hybrid stacked AI/ML models achieve over 90% accuracy in detecting insurance fraud, significantly reducing losses and improving operational clarity for insurers. Trending Photos In one of the major ...

1 Division of Diabetes, Metabolism and Endocrinology, Showa Medical University Fujigaoka Hospital, Yokohama, Japan 2 Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical ...

Purpose: Global fund managers, in their effort toward risk diversification and generating higher returns, design portfolios that consist of financial assets of various countries. In the process, they ...

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...

On Saturday night, several fights broke out at the Monterey County Fair. As a result, security measures have been beefed up to ensure that people returning over the next two days feel more at ...

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...