Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...
Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.
Soil acidification is one of the pressing issues confronting global farmland today. Studies indicate that approximately 40% ...
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 ...
Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
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 2026 MLB season is showcasing how AI-driven analytics are influencing both on-field performance and off-field fan engagement. Advanced metrics like K-BB% are helping fantasy managers and teams ...
Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...
A major Indian study reveals nearly 13% of women are diagnosed with de novo metastatic breast cancer, double the rate in ...
NASA’s TESS uncovers 11,554 exoplanet candidates in the T16 planet hunt, including more than 10,000 new ones around faint ...
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How AI is remixing the future of music
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 ...
Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
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