In research recently published online in Medical Image Analysis, a team of engineers demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.
With the support of a four-year $1.2 million grant from The Department of Veterans Affairs, an interdisciplinary team of engineers from Rensselaer Polytechnic Institute aims to create a polymer coating that could potentially be capable of reducing the body’s inflammatory response following the implantation of electrodes.
With the support of a $2.2 million grant from the U.S. Army Medical Research and Development Command of the U.S. Department of Defense, received through a Medical Technology Enterprise Consortium award, an interdisciplinary team of researchers at Rensselaer Polytechnic Institute and the University at Buffalo will combine neuroimaging, neuromodulation, and artificial intelligence to better understand and measure surgical skill acquisition — and then determine if that mastery can be accelerated.
Despite additional costs, increased restrictions, and issues stemming from compliance directives, research from the Lally School of Management at Rensselaer Polytechnic Institute shows that government-mandated stress tests are effective in strengthening the overall health of the American banking industry.
Leaders at Rensselaer Polytechnic Institute relied on a powerful algorithm, COVID Back-to-School - now freely available to the public - to determine that twice-weekly testing of all students would be the optimal regimen for keeping the infection rate on campus safely below 1% for any two-week period.
A new research project for satellite telecommunications, supported by the National Geospatial-Intelligence Agency, proposes to use the properties of light itself to punch a pathway for data through the clouds.
A small energy harvesting device that can transform subtle mechanical vibrations into electrical energy could be used to power wireless sensors and actuators for use in anything from temperature and occupancy monitoring in smart environments, to biosensing within the human body. In research recently published in the Journal of Micromechanics and Microengineering, engineers at Rensselaer Polytechnic Institute developed a predictive model for such a device, which will allow researchers to better understand and optimize its functionalities.
Armed with evidence that a specific site on heparan sulfate — known as the 3-O-sulfate group — is critical to the transfer of harmful tau proteins in the brain, a research program funded by the NIH’s National Institute of Aging is scrutinizing the interactions between heparan sulfate and tau, determining how misfolded tau spreads in the brain, and developing strategies to block it.
With the support from a NASA Early Career Faculty Award, Shankar Narayanan, an assistant professor of mechanical, aerospace, and nuclear engineering at Rensselaer Polytechnic Institute, aims to develop new materials that can protect objects from extreme radiation and temperature variations in space — an important step toward enabling long-distance space exploration.
A COVID-19 transmission model inspired by gas-phase chemistry is helping the Centers for Disease Control and Prevention (CDC) forecast COVID-19 deaths across the country. Developed by Yunfeng Shi, an associate professor of materials science and engineering at Rensselaer Polytechnic Institute, and Jeff Ban, a professor of civil engineering at the University of Washington, the model uses fatality data collected by Johns Hopkins University and mobility data collected by Google to predict disease spread based on how much a population is moving within its community.
Astrophysicists announced today that a 3-billion year old merger between a dwarf galaxy and the Milky Way produced a series of telltale shell-like formations of stars in the vicinity of the Virgo constellation, the first such “shell structures” to be found in the Milky Way.
With the support of a $3.7 million grant from the National Institutes of Health’s (NIH) National Heart, Lung, and Blood Institute, an academic-industrial collaboration between General Electric Research, Rensselaer Polytechnic Institute, Cleerly, and Weill Cornell Medicine will develop cutting-edge techniques for removing the appearance of blurry images — known as blooming artifacts — from cardiac CT scans to improve the accuracy of cardiac diagnosis and prevent patients from having to undergo costly and invasive procedures.
With the support of a new National Science Foundation grant, a team of engineers from Rensselaer Polytechnic Institute will explore a potentially transformative idea: genetically engineering a microorganism that “eats” petroleum-based plastic waste and converts it to a biodegradable plastic alternative.
With many people stuck inside for months on end, the built environment has played a significant role in the COVID-19 pandemic. With support from a new National Science Foundation grant, a team of engineers and social scientists will study the ways in which that built environment mitigates or exacerbates the pandemic.
In a paper co-authored by Gaurav Jain, an assistant professor of marketing in the Lally School of Management at Rensselaer, researchers found that disfluency, or the difficulty for an individual to process a message, increases people’s attitudes toward that message after a time delay.
Researchers at Rensselaer Polytechnic Institute anticipate a future in which a combination of smart wearables and algorithms assess each person’s circadian rhythm and provide personalized feedback as to what light, sleep, and work schedule would be ideal for their particular internal clock. In a foundational step toward that goal, a team of engineers aims to develop reliable mathematical models that can estimate individuals’ circadian rhythms. With the support of a grant from the National Science Foundation (NSF), the team will also develop wearable hardware and software that incorporate various sensors capable of capturing useful biometric information. That data will be used to help build and test the team’s mathematical models.
With the support of a new National Science Foundation grant, Alhussein Abouzeid, a professor of electrical, computer, and systems engineering at Rensselaer Polytechnic Institute, will develop a series of mathematical models that will help optimize policies governing spectrum use nationwide.
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