Automatic modulation classification (AMC) is an essential technology in modern communications, enabling the identification of various signal modulation schemes without prior knowledge, thereby ...

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...