Researchers Working on Computational Models to Design Ways to Treat COVID-19

A team of Stony Brook University (SBU) researchers is working on computer models that could help speed the discovery of drugs to combat the novel coronavirus responsible for COVID-19. They are doing this work in collaboration with scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Argonne National Laboratory, and will be leveraging those laboratories’ computational resources and expertise.

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A Faster Way To Replace Inaccurate Information On Social Networks

Researchers have demonstrated a new model of how competing pieces of information spread in online social networks and the Internet of Things. The findings may be used to disseminate accurate information more quickly, displacing false information on anything from computer security to public health.

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Advances in Computer Modeling, Protein Development Propel Cellular Engineering

A review of recent work in biophysics highlights efforts in cellular engineering, ranging from proteins to cellular components to tissues grown on next-generation chips. Author Ngan Huang said the fast pace of development prompted her and her colleagues to take stock of promising areas in the field as well as hurdles researchers can expect in coming years. They discuss their work in this week’s APL Bioengineering.

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CAREER award to help researcher understand, optimize walking for stroke patients

To design better assistive exoskeletons, a wearable device that helps those with disabilities walk, researchers need to further understand the complexities of walking. The National Science Foundation recently awarded Anne Martin, assistant professor of mechanical engineering at Penn State, a $500,000 Faculty Early Career Development (CAREER) grant to study how both healthy and post-stroke individuals walk.

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Brain model offers new insights into damage caused by stroke and other injuries

A University at Buffalo neuroimaging researcher has developed a computer model of the human brain that more realistically simulates actual patterns of brain impairment than existing methods. The novel advancement represents the union of two established approaches to create a digital simulation environment that could help stroke victims and patients with other brain injuries by serving as a testing ground for hypotheses about specific neurological damage.

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