Recovering valuable metals from electronic waste, mining streams and industrial waste typically requires large quantities of chemical reagents. Researchers at the University of Illinois Urbana-Champaign have developed a new molecule that could replace much of that chemistry with electricity – a fundamental advance that could potentially make metal recovery cleaner, simpler and more energy efficient.

The University of Tennessee Herbert College of Agriculture has launched a new Bachelor of Science in Bioinformatics to prepare students to harness the power of big data, artificial intelligence, genomics and computational science to solve the world's greatest challenges.

A tiny UK-developed satellite, roughly the size of a small carry-on suitcase, could help answer one of the biggest questions in cosmology: what happened in the roughly 150 million years of cosmic dark ages, before the universe’s first stars appeared?

Could beneficial bacteria help prevent the body from absorbing lead? With new funding from the National Institutes of Health, WPI researcher Natalie Farny is exploring that question by putting harmless bacteria to work in an unexpected place: the digestive tract of tiny C. elegans worms.

Many things are different in space – including how the intestines work. Constipation is a known side effect of space travel, but until now we have known little about why it happens. Now, researchers from the University of Copenhagen, in collaboration with NASA, have examined blood samples from astronauts and have suggestions as to why the intestines slow down in space. This may provide useful information both for astronauts and for patients on Earth.

A research team at The Hong Kong Polytechnic University (PolyU) has developed a patient-centric “Artificial Intelligence (AI) Virtual Patient Simulation System”, overcoming the limitations of conventional static diagnosis. By dynamically integrating multimodal patient data, including genomic data, medical imaging and clinical records, the system creates a continuously updated “digital twin” model. It can not only track changes in a patient’s condition in real time, but also predict the potential effectiveness of different cancer treatment options, helping healthcare teams formulate more precise and personalised medical solutions.

A new University of Kent spin-out has been launched to commercialise biotechnology that could make it cheaper and easier to produce proteins used in cancer treatments, vaccines and diagnostics tests.

An NJIT-led research team has developed an AI system that can spot faint warning signals of solar active regions, potential precursors to solar storms, nearly nine hours before they become visible.