University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.
Even intense exercise by astronauts cannot compensate for muscle atrophy caused by microgravity. Atrophy occurs, in part, by way of an underlying mechanism that regulates calcium uptake. Recent research has shown exposure ...
Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive and growing store of ...
A Northwestern Medicine study has detailed the development of a machine learning model to predict DNA methylation status in cell-free DNA by its fragmentation patterns, according to findings published in Nature Communications.
Researchers from Carnegie Mellon University's School of Computer Science have made a significant advancement toward understanding how the human genome is organized inside a single cell. This knowledge is crucial for analyzing ...
The great gray owl has long been thought of as a sentinel of the Alaska wilderness, keeping watch over snow-laden forests as far north as the Brooks Range, well away from human populations.
To assess a community's risk of extreme weather, policymakers rely first on global climate models that can be run decades, and even centuries, forward in time, but only at a coarse resolution. These models might be used to ...
The civilization of Indus River Valley is considered one of the three earliest civilizations in world history, along with Mesopotamia and Egypt. Bigger geographically than those two as it unfolded starting in 3300 BCE across ...
In the quest to decipher the evolutionary relationships of extinct organisms from fossils, researchers often face challenges in discerning key features from weathered fossils, or with prioritizing characteristics of organisms ...
A protein engineering method using simple, cost-effective experiments and machine learning models can predict which proteins will be effective for a given purpose, according to a new study by University of Michigan researchers.
