AAU universities conduct a majority of the federally funded university research that contributes to our economic competitiveness, health and well-being, and national security. AAU universities are growing our economy through invention and innovation while preparing the next generation of scientists and engineers for global leadership. By moving research into the marketplace AAU universities are helping to create jobs, and provide society with new medicines and technologies.
A study by researchers at Duke University School of Medicine found that supplying healthy mitochrondra to damaged nerve cells can signifantly help millions managing pain from diabetic neuropathy and chemotherapy.
Researchers from the USF College of Marine Science are studying soft tissue samples from barnacles, oysters, and fish to better understand the state of contamination and its origins in Tampa Bay, Florida's largest estuary.
The advancement lays the groundwork for creating a library of sugar-recognizing proteins that may help detect and treat diverse illnesses.
The olfactory senses of ants help them hunt, detect outsiders, and know their role within a colony. In a new study, researchers have discovered how ants can switch one gene on out of hundreds to ensure their survival.
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Scientists have discovered more than 20 genes whose mutations contribute to the onset of Parkinson's disease—a finding which could have implications for new therapeutic targets.
Tufts researchers are exploring a promising new target in the effort to develop a vaccine for Lyme disease—the Lyme bacterial protein CspZ, which the bacteria use to evade detection from the body’s immune system.
A new experiment shows that, at least from a human perspective, humans retain an edge over the latest generative artificial intelligence tools when it comes to brainstorming buildings.
University at Buffalo researchers are tackling a nationwide shortage of speech-language pathologists by using NSF funding to develop AI-powered to tests to screen children for language and speech disorders.
Machine learning algorithms utilizing electronic health records can effectively predict two-year dementia risk among American Indian/Alaska Native adults aged 65 years and older, according to a University of California, Irvine-led study.