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 ...

What if doctors could determine heart health before ever stepping into the operating room? At Kennesaw State University, ...

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 ...

OpenAI has released GPT-Rosalind, a large language model fine-tuned specifically for life sciences research, marking the ...

The program will foster “collaboration among faculty from different disciplines,” according to Guarini dean Jon Kull ’88.

Researchers developed a computational “virtual twin” that uses patient-specific clinical data to predict how the cancer drug ...

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.