Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.

Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

AI is no longer just a tool for making music—it’s transforming how songs are created, marketed, and monetized. From ethical, artist-driven AI models to multimodal creative collaborations, the industry ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

A major Indian study reveals nearly 13% of women are diagnosed with de novo metastatic breast cancer, double the rate in ...

LogMiner-QA ingests raw application logs and uses AI and machine learning to automatically generate Gherkin test scenarios.