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.

Tumor growth from a localized to a distant or metastatic state in cancer patients significantly reduces the five-year survival rate 1. Rare circulating tumor cells (CTCs) and rarer circulating tumor ...

IMU Biosciences, a biotechnology company decoding the immune system to pioneer a paradigm shift in how we understand, diagnose, and treat disease, and Waters Corporation (NYSE: WAT) today announced a ...

MILFORD, Mass., June 24, 2026 /PRNewswire/ -- Waters Corporation (NYSE: WAT) and IMU Biosciences, a biotechnology company decoding the immune system to pioneer a paradigm shift in how we understand, ...

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 ...

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 ...

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 ...

Cell-based cancer diagnostics are essential for clinical decision-making, particularly for establishing the correct diagnosis, choosing the appropriate treatment, enrolling patients in clinical trials ...

Cell processes are complex and are controlled through dynamic intracellular signaling. To better understand these processes, flow cytometry is used to phenotype cells by taking their dimensions and ...