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 ...

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 ...

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

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

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 ...