A University of Minnesota Twin Cities-led team has developed a new technique that allows scientists and engineers to visualize mRNA molecules in the brains of living mice
A University of Minnesota Twin Cities team has developed a new tool to predict and customize the rate of a specific kind of DNA editing called “site-specific recombination.
The United Nations has declared the 2020s as the decade of ecosystem restoration
With millions of plant and animal species scattered across every biome on the planet
A first-of-its-kind study led by University of Minnesota Twin Cities researchers reveals why liquid droplets have the ability to erode hard surfaces.
A team led by University of Minnesota Twin Cities engineering researchers analyzed the fundamental properties and structures of lung surfactant
A new study has found a rise in racial apathy — in other words, not caring about racial inequality — among young white adults.
Rice University bioscientists adapt CRISPR to trigger ‘silent’ genes in bacteria
Rice chemists adapt instant process to make more valuable nanomaterials
Program identifies conserved SARS-CoV-2 peptides that could be used to develop vaccines
Nanotube-embedded coating detects threats from wear and tear in large structures
Rice neuroengineers use magnetic fields to activate neurons in fruit flies
High Carrier Mobility in Cubic Boron Arsenide Offers Promise for Next-Gen Electronics
A unique fungus survives by 'bewitching' male flies into mating with dead female flies.
Health issues and loss, social isolation and mental health problems – the pandemic has had a drastic effect on our society.
Humans make decisions based on various sensory information which is integrated into a holistic percept by the brain.
Nerve cells regulate and routinely refresh the collection of calcium channels that enable them to send messages across circuit connections.
Researchers have developed a biodegradable system based on silk to replace microplastics added to agricultural products, paints, and cosmetics.
Single-shot spectroscopy techniques provide researchers with a new understanding of a mysterious light-driven process.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.