In the near future, clinical trials will use machine learning routinely to analyze data. Today, however, machine learning is still at an adoption midpoint—no longer pioneering, but not yet ubiquitous.

Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...

SAN DIEGO--(BUSINESS WIRE)--Insightful Science, the software company enabling the Cloud for Scientific Discovery, announced today that it has acquired Omiq Inc, a company specialized in data science ...

Flow cytometry allows for the analysis of single cells in a population. This technique is analogous to microscopy, but instead of producing an image, a flow cytometer provides automated quantification ...

Waters Corporation WAT recently announced the global commercial launch of the BD FACSDiscover A7 Cell Analyzer, expanding access to advanced spectral flow cytometry for academic, pharmaceutical and ...

With flow cytometry, as with many technologies that enjoy continuous use, we can see an evolution of capabilities. Spectral analysis, image capture, and artificial intelligence are just a few of the ...

AI flow cytometry analysis has become the default approach for cell population discovery once a panel outgrows what a scientist can gate by eye. Manual gating does not scale to today's high-parameter ...

Flow cytometry detects and measures the chemical, fluorescent, and physical characteristics of cells and particles passing in a fluid stream. This technique analyzes cells by passing them through ...