Performing computerized analysis to identify patients receiving target drugs that may be used to treat a medication error or to search for serum drug concentration ...

In the era of instant data exchange and growing risks of cyberattacks, scientists are seeking secure methods of transmitting ...

Discover how large language models secretly encode deeper truthfulness within "exact answer tokens," unlocking potential for enhanced error detection and reducing AI ...

Software verification techniques such as pattern-based static code analysis, runtime memory monitoring, unit testing, and flow analysis are all valuable techniques for finding bugs in embedded C ...

Liquid biopsies have the potential to improve cancer detection, noninvasive tumor genotyping, and disease monitoring 1,2,3,4,5,6,7. However, in most early- and many advanced-stage solid tumors, ctDNA ...

Several programs are currently available for the detection of genotyping error that may or may not be Mendelianly inconsistent. However, no systematic study exists ...

Whenever we send data — whether it’s audio signals over a phone line, a data stream or a legal document — to someone else, we need to know that what arrives on the other end is identical to what we ...

This paper considers estimation of the unknown size N of a population based on multiple capture-recapture samples. We extend the Bayesian multiple recapture model to accommodate possible heterogeneity ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Google DeepMind and Google Quantum AI recently shared ...

The validity and cost-effectiveness of three methods for detecting medication errors were examined. A stratified random sample of 36 hospitals and skilled-nursing facilities in Colorado and Georgia ...