For decades, the relationship between fat and cancer has been treated as a question of quantity: Eat less fat, reduce your risk of developing cancer. But new research published April 29 in Cancer Discovery shows that for pancreatic cancer, the type of fat you consume matters more than the amount.

“It’s really the type of fat that you’re consuming, not just total fat content,” says Christian Felipe Ruiz, Ph.D., an associate research scientist in YSM’s Department of Genetics and lead author of the study. “Depending on the type of fat that you consume, it can go completely different ways. We found that some fats promote cancer, as we would expect, while other fats are really good at suppressing cancer.”

One fat in particular—oleic acid, the primary fatty acid in olive oil—may be ac...

You’re on the fourth human mission to Mars, and you’re told the Odyssey spacecraft designed to take you there will be the smoothest ride you’ll ever take. It features a newly christened electric propulsion engine which was in the late stages of testing during the first three missions. The mission starts and the spacecraft travels at a crawl, and you wonder if it’s broken. A week goes by and you’re now traveling at more than 400,000 kilometers (250,000 miles) per hour, and your mind is blown as to how fast you’re going, how quickly that happened, and that this mission might be more awesome than you thought.

This scenario is quite possibly a decade away, at minimum, but that’s not stopping the bright minds at NASA from building and testing next-generation propulsion systems designed ...

A research team led by Prof. Jerald Yoo from the Department of Electrical and Computer Engineering at Seoul National University (SNU) has developed a skin-conformal wearable health care system, “SkinECG,” capable of measuring electrocardiogram (ECG) signals without a battery. By combining energy harvesting with human body–coupled power transfer, the study presents a new solution to one of the most critical challenges in wearable devices: power supply.

The findings are published in Science Advances.

Wearable health care systems are emerging as next-generation medical technologies that enable real-time monitoring of physiological signals through body-worn sensors, allowing early ...

A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.

The MIT researchers boosted the efficiency of a technique known as federated learning, which involves a network of connected devices that work together to train a shared AI model.

In federated learning, the model is broad...