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, ...

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 ...

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 ...

Dr. Webb shared an exclusive sneak peak of the groundbreaking technology his team is releasing in January called Labtools.AI - an enterprise machine learning platform for Image-Based Flow Cytometry ...

Larry Sklar (left) is a Distinguished Professor Emeritus at the University of New Mexico (UNM; NM, USA) whose interest in flow cytometry as a tool for drug discovery led to the development of ...

Flow cytometry is an extremely powerful technique that allows the rapid analysis of single cells and particles in a population. With this technique, particles and cells' chemical and physical ...

Flow cytometry is a technique commonly used to identify and separate specific cells from a mixed population. This can be applied to a large number of cells, which is ideal for further statistical ...