Single-cell RNA sequencing (scRNA-seq) is a method for measuring gene expression in individual cells, allowing observation of ...

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

Single-cell RNA sequencing (scRNA-seq) is a method to measure gene expression of individual cells, allowing observation of ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...