Dong Xu, Ph.D.

Researchers from the University of Missouri (MU) enhanced their artificial intelligence (AI) model to improve its ability to predict protein location within cells of animals, humans, and plants, thereby enhancing disease treatment.

According to the press release from MU, identifying the location of a protein in a cell is valuable information. This is because it provides important biological information surrounding diseases, as the protein operates many cellular activities… Continue reading.

Pharmacy Times interviewed Dong Xu, PhD, MS, curators’ distinguished professor, Department of Electrical Engineering and Computer Science, University of Missouri College of Engineering, on research assessing the application of a form of artificial intelligence (AI) to help scientists develop new drug therapies for medical treatments targeting cancers and other diseases.

Alana Hippensteele: Hi, I’m Alana Hippensteele with Pharmacy Times. Joining me is Dong Xu, PhD, MS, a curators’ distinguished professor in the Department of Electrical Engineering and Computer Science at the University of Missouri College of Engineering, who is here to discuss research that is looking to apply a form of artificial intelligence, that was previously used to analyze how NBA players move their bodies, to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases… Continue reading.

Researchers from the University of Missouri and the Ohio State University say they have created a new way to analyze data from single-cell RNA-sequencing by using machine learning. The method uses the power of computers to intelligently analyze large amounts of data and help scientists draw faster conclusions and move to the next stage of the research.

Their study “scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses” appears in Nature Communications.

“Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from multiple grand challenges, including the sequencing sparsity and complex differential patterns in gene expression,” write the investigators… Continue reading.

WASHINGTON, D.C. — The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Dong Xu, Ph.D., Shumaker Endowed Professor, Electrical Engineering and Computer Science, University of Missouri-Columbia, to its College of Fellows.

Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to a medical and biological engineer. The College of Fellows is comprised of the top two percent of medical and biological engineers. College membership honors those who have made outstanding contributions to “engineering and medicine research, practice, or education” and to “the pioneering of new and developing fields of technology, making major advancements in traditional fields of medical and biological engineering, or developing/implementing innovative approaches to bioengineering education.”

Dr. Xu was nominated, reviewed, and elected by peers and members of the College of Fellows for “distinguished contributions to bioinformatics and computational biology, and extensive services to University of Missouri and his research community.“