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 ...

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 ...

The UAB Flow Cytometry Lab is home to a staff of medical laboratory professionals who perform complex testing using state-of-the-art flow cytometry equipment. This testing, through research, education ...

The use of flow cytometry in hematological research has grown immensely over the past several years. This analytical technique is capable of providing both qualitative and quantitative information ...

Flow cytometry is a technique that is used to detect and measure the chemical and physical characteristics of a cell population. This technique, which was first used in the 1950s, can also be used to ...

The Flow Cytometry shared resource stays at the leading edge of technology. Close ties to industry allow us to offer users early access to new reagents and instrumentation. We help users realize a ...