Just as convincing images of cats can be created using artificial intelligence, new proteins can now be made using similar tools.

People with type 2 diabetes who contract COVID-19 are nearly 50% more likely to wind up in intensive care if they have poorly managed their blood sugar levels over the long-term than those with better long-term glycemic control, according to a study using anonymized health care data.

In research published Langmuir, a team led by Steven Cramer, an endowed chair professor of chemical and biological engineering, explored the fundamentals of how different molecules interact with various surfaces during the purification process.

Having challenged the idea that our environment cannot alter our genetically controlled 24-hour sleep-wake cycle, circadian rhythm researcher Jennifer Hurley has embarked on a new project tracing the mechanism between environmental signals and the circadian clock.

The Biden-Harris administration has set a national goal of reaching net-zero emissions by the year 2050. Technologies that can reduce carbon emissions created during the production of various chemicals — like biofuels — will provide an important step toward that goal.

Rensselaer Polytechnic Institute President Shirley Ann Jackson was recognized by the Federal Bureau of Investigation (FBI) for her outstanding contributions to the community. FBI officials presented President Jackson with the FBI Albany Division’s 2020 Director’s Community Leadership Award at a ceremony on Tuesday.

TROY, N.Y. — A novel experiment aimed at studying the mechanics of amyloid fibrils — a type of protein aggregation associated with diseases like diabetes, Alzheimer’s, and Parkinson’s — started today aboard the International Space Station (ISS), led by a team at Rensselaer Polytechnic Institute.

Like many other cells and organs within the body, cardiac cells possess a type of asymmetry that may play an important role in healthy heart formation and could serve as the basis for interventions to prevent congenital heart defects.

An innovative testing platform that more closely mimics what cancer encounters in the body may allow for more precise, personalized therapies by enabling the rapid study of multiple therapeutic combinations against tumor cells. The platform, which uses a three-dimensional environment to more closely mirror a tumor microenvironment, is demonstrated in research published in Communications Biology.

A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.