USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...
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 ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
Morning Overview on MSN
University of Oregon AI models drug molecule motion before lab tests
A single drug can take more than a decade and an estimated $2.6 billion to bring to market, and much of that time is spent ...
Morning Overview on MSN
OpenAI launches GPT-Rosalind, a biology-focused model for lab workflows
OpenAI has released GPT-Rosalind, a large language model fine-tuned specifically for life sciences research, marking the ...
Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In ...
The Individual Brain Charting (IBC) project has released its fifth and largest update of high-resolution fMRI data, adding a new set of cognitive tasks to one of the most detailed brain-mapping ...
Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...
Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.
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