A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.

Here, the authors propose a quantum machine learning algorithm that provides an exponential speed up over known algorithms for topological data analysis.

Why do these algorithms need to be quantum resistant? Cryptographic algorithms are able to keep data secret because they are mathematically intensive to break.

Methods A claims-based algorithm was developed to categorize patients by disease stage on the basis of the administrative claims portion of the SEER-Medicare linked data. The algorithm was validated ...

They will eventually become powerful enough to break traditional asymmetric cryptographic methods, that is, some of the most common security protocols used to protect sensitive electronic data ...

Insurance companies, which historically sold car insurance based on driving records, have more recently started using such data-driven profiling methods.