The new offering gives firms scrubbed, mapped municipal data to support AI-driven credit analysis, trading, and ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave reflection signals with vegetation-structure information that conventional ...

From fishing quotas in Norway to legislative accountability in California, investigative journalists share practical, ...

Vires Real Solutions GmbH launched Vienna Unlisted, a platform reshaping how investors find off-market residential properties in Vienna's opaque Zinshaus market. The tool pulls and normalizes open ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Purpose-built provider data intelligence platform combines dual-shore operations with a learning engine to deliver ...

Master ultra-high-throughput screening principles. Learn how advanced automation and miniaturization accelerate drug ...

So for retailers, the truth is sobering. Shelf-ready products must be unused and in excellent condition. For seasonal ...

A survey found second-language instructors are using generative AI primarily as an administrative efficiency tool, for work ...