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 ...

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 ...

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

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 ...

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

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 ...

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 ...

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