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

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

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 ...

After years of collapse, seagrass in Florida’s Mosquito Lagoon rebounded unexpectedly following 2022 hurricanes, offering new ...

Avitesh Kesharwani says the average tech company wastes millions on meetings every year. His peer-reviewed research puts ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement, which could help provide early warnings of risks from soil ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

ABSTRACT: Advances in AI-based voice production and conversion technologies have made it possible to create deepfake voices that closely resemble real human speech, raising new security challenges in ...