Weizmann Institute of Science researchers have found that people may have a tendency to form friendships with individuals who have a similar body odor.
Researchers have developed a biodegradable system based on silk to replace microplastics added to agricultural products, paints, and cosmetics.
Humans make decisions based on various sensory information which is integrated into a holistic percept by the brain.
Rice chemists adapt instant process to make more valuable nanomaterials
A team led by University of Minnesota Twin Cities engineering researchers analyzed the fundamental properties and structures of lung surfactant
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 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.
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
Catalytic converter thefts from cars and trucks have skyrocketed nationwide in recent years.
Researchers from the Universities of Bonn and Cologne observe how the danger sensor NLRP3 lengthens itself like a thread
Study investigates process by which plants stabilize the shape of protein molecules
Study identifies a new signaling molecule that increases the energy consumption of brown fat cells
A two-step approach with sequencing of 20,000 genes improves prediction of who benefits from immune checkpoint inhibitors
Building artificial Hox genes enables researchers to see how cells learn their location in the body
HIV has an “early and substantial” impact on aging in infected people, accelerating biological changes in the body associated with normal aging within just two to three years of infection, according to a study by UCLA researchers and colleagues.
Building artificial Hox genes enables researchers to see how cells learn their location in the body
Rice lab’s program uses common gene to profile microbial communities
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
A study conducted at the University of Helsinki under the direction of Docent Taru Meri uncovered a mechanism by which Borrelia bacteria are able to evade human immune defences.
Rice lab draws on nature to create flexible precursors for drug, materials design