Machine Learning Used To Create Scalable Solution for Single-Cell Analysis A machine learning algorithm has been developed to deliver more accurate results from single-cell data analysis.

A machine learning algorithm has been developed to deliver more accurate results from single-cell gene expression database analysis.

Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using.

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model.

UTSA MATRIX Consortium establishes center to combat health disparities, powered by AI and machine learning FEBRUARY 13, 2024 — A one-year, $500,000 grant will help UTSA researchers leverage artificial ...