Researchers have developed an AI-powered model to understand the "maze-like" magnetic patterns that cause energy loss in ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

Genetic diseases that result from truncated proteins can be targeted by so-called nonsense suppression therapies—drugs that prevent protein translation from terminating prematurely. A new ...

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

How the brain loses consciousness under general anesthesia has long been a puzzle in neuroscience. Three of the most commonly used drugs—propofol, ketamine, and dexmedetomidine—act on entirely ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...

Nearly 50 years ago, neuroscientists discovered cells within the brain's hippocampus that store memories of specific locations. These cells also play an important role in storing memories of events, ...

How do we think, feel, remember, or move? It all depends on transmission of chemical signals in the brain, carried and released by molecular containers called vesicles. In a new study, researchers ...