Discover the role of data annotation in shaping AI models, from enhancing accuracy to adapting with automation for responsible, high-performing AI. Data may be the fuel of artificial intelligence, but ...

For spatial biology to deliver on its potential, foundational aspects of the spatial analysis workflow need to be executed with precision. Here, Kalins Banerjee and Evan Keller explain the importance ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Medicinal Chemistry, Research ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

This R data package provides raw microarray data from three independent lymphoma-related experiments. The data was generated using the Illumina HumanHT-12 microarray platform and comprises primary ...

Spermatogonial stem cells (SSCs) are essential for the continuous production of sperm and the maintenance of male fertility. Their selection, culture, and molecular characterization provide critical ...

The program, called From the Source, will start with articles from the publication’s climate team. It could provide readers with more viewpoints but would also require moderation and vetting. By ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Controlled vocabularies are increasingly used by databases to describe genes and gene products because they facilitate identification of similar genes within an organism or among different organisms.