A new article outlines a new tool that measures blood inflammation as a marker for poor CAR T therapy outcomes.

Machine learning (ML ... and objectives of the testing procedure are defined, ensuring a clear understanding of the ML system's specific needs. Test data preparation follows, where test inputs are ...

How do you transition from traditional quality engineering (QE) to an AI-driven testing strategy while ensuring long-term sustainability?

Cancer Center have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient's likely response ...

Asad Khan is the founder & CEO of LambdaTest, an AI-powered unified enterprise test execution cloud platform.

In the evolving landscape of cybersecurity, innovative techniques are needed to combat emerging threats. Gurdeep Kaur Gill ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient’s condition rapidly deteriorates or shows vitals in highly abnormal ...

and machine learning (ML). Many organizations are beginning to leverage predictive AI to speed up and automate statistical data analysis. The science of predictive analytics can generate future ...

Technology is evolving rapidly, and with it, software development and testing processes are undergoing a transformation.