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.

This analysis describes the results of three Cell Tracking Challenge editions for examining the performance of cell segmentation and tracking algorithms and provides practical feedback for users ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

Same as CSCA 5512Same as CSCA 5512 Specialization: Data Mining Foundations and Practice Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Familiarity ...

Tainted Data Can Teach Algorithms the Wrong Lessons Researchers show how AI programs can be sabotaged by even subtle tweaks to the data used to train them. Illustration: Elena Lacey; Getty Images ...

Missing data is a major issue in many applied problems, especially in the biomedical sciences. We review four common approaches for inference in generalized linear models (GLMs) with missing covariate ...

Most medical algorithms are trained on data collected in New York, California, and Massachusetts. That might skew they’re accuracy if they’re used in other places, researchers suggest.