“Spleen-on-a-chip” yields insight into sickle cell disease
With this microfluidic device, researchers modeled how sickled blood cells clog the spleen’s filters, leading to a potentially life-threatening condition.
With this microfluidic device, researchers modeled how sickled blood cells clog the spleen’s filters, leading to a potentially life-threatening condition.
A quick electric pulse completely flips the material’s electronic properties, opening a route to ultrafast, brain-inspired, superconducting electronics.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
In a new book, “Risky Business,” Amy Finkelstein examines the core issue of the insurance industry: Who gets to be a customer?
Study: Even chess experts perform worse when air quality is lower, suggesting a negative effect on cognition.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Using bottlebrush-shaped particles, researchers can identify and deliver synergistic combinations of cancer drugs.
With 75 years of aviation industry-focused research and education under its belt, the lab continues to develop propulsion systems for next-generation aircraft.
The cap will help researchers gain new insight into how the brain functions.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
A new study identifies cells that are the most vulnerable within a brain structure involved in mood and movement.
A method for quickly predicting the forces needed to push objects through "flowable media" could help engineers drive robots or anchor ships.
“Single-cell profiling” is helping neuroscientists see how disease affects major brain cell types and identify common, potentially targetable pathways.
Their technique could allow chip manufacturers to produce next-generation transistors based on materials other than silicon.