Pharmaceutical and biotech companies are making huge investments in lab automation technologies, but what’s the ROI?

Last year, we celebrated 50 years since the first papers on fluorescence correlation spectroscopy (FCS) were published. It ...

Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...

The patchwork of data localization requirements, especially across the Middle East and North Africa, have led to innovative ...

Addressing critical proteomics challenges in the lab, including robust sample preparation, managing batch effects in ...

For an AI scientist to claim its own discovery, the research would need to be performed “fully or highly autonomously”, ...

Researchers, funders, and industry experts in 2D materials call for science to reward reliability over speed, proposing shared tools and standards to strengthen transparency and reproducibility across ...

Keen to make farm inspections easier and less labour intensive, researchers have developed an autonomous robot called Poultry ...

Artificial intelligence models are starting to succeed in science. The pace of progress has some researchers convinced that ...

The software-driven approach pioneered by a new Kentucky distillery runs counter to the low-tech methods of whiskey's old ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...