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 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 ...

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 ...

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 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, ...

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, ...

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 ...

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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 ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

Optical imaging is paramount for disease diagnosis and to access its progression over time. The proposed optical flow imaging (VFC/iLIFE) is a powerful technique that adds new capabilities (3D volume ...