Researchers have developed an AI-powered model to understand the "maze-like" magnetic patterns that cause energy loss in ...
USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...
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 ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
New Computational Model Matches Drugs to Protein Synthesis Disruptors in Hereditary Diseases, Cancer
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 ...
Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...
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 ...
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, ...
The program will foster “collaboration among faculty from different disciplines,” according to Guarini dean Jon Kull ’88.
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