Binghamton University
When damaged, living tissues will knit themselves back together into a functional wholeness. Could we engineer a synthetic material with this amazing quality and, if so, what possibilities would unfold?
In materials science, researchers are developing methods of “bio-mimicking,” in which synthetic materials could emulate biological systems. In an article in the journal Science, Binghamton University Assistant Professor of PhysicsAna Laura Elías and Rodolfo Cruz-Silva of the Research Initiative for Supramaterials and Aqua Global Innovation Center in Japan’s Shinshu University, review one such attempt: the development of reversible fission-fusion graphene oxide fibers. The innovators of this process – Dan Chang, Bo Fang, Zhen Xu, Zheng Li, Fan Guo, Weiwei Gao and Chao Gao of Zheijiang University in China, Yilun Liu of Xi’an Jiaotong University in China, and Laurence Brassart of Monash University in Australia – also had an article published in the sa
New algorithm uses online learning to speed up analysis of massive cell data sets news-medical.net - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from news-medical.net Daily Mail and Mail on Sunday newspapers.
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The fact that the human body is made up of cells is a basic, well-understood concept. Yet amazingly, scientists are still trying to determine the various types of cells that make up our organs and contribute to our health.
A relatively recent technique called single-cell sequencing is enabling researchers to recognize and categorize cell types by characteristics such as which genes they express. But this type of research generates enormous amounts of data, with datasets of hundreds of thousands to millions of cells.
A new algorithm developed by Joshua Welch, Ph.D., of the Department of Computational Medicine and Bioinformatics, Ph.D. candidate Chao Gao and their team uses online learning, greatly speeding up this process and providing a way for researchers world-wide to analyze large data sets using the amount of memory found on a standard laptop computer. The findings are described in the journal