Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...

Indore (Madhya Pradesh): The long-awaited All India Tiger Estimation (AITE) 2026 officially began in Indore on Thursday, ...

This report provides an update on the technical feasibility of using administrative (admin) data, supported by surveys, to measure New Zealand's ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

The Voyageurs Wolf Project is focused on understanding the ecology of gray wolves in the Greater Voyageurs Ecosystem in ...

A research team has developed IPENS, an interactive and unsupervised 3D phenotyping tool that extracts grain-level point clouds without manual annotation, marking a major step forward in automated ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Recent research suggests that the consumption of caffeinated beverages is linked to a measurable increase in positive ...

Fortunately, it is easy to measure the biggest possible difference between the results of most polls and the results you would get if you asked the same questions of all 270 million adult Americans.

Don't trust the unemployment spike. See how the government shutdown artificially inflated November's jobless rate.

Farms and cities use so much of the Colorado River's water that little remains for the river's own ecosystem. Will ...

Objectives Para athletes may face unique challenges in the anti-doping system, including issues of privacy, implementation, comprehension and accessibility. While previous studies have examined ...