Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of neuroscience and psychology studies. Most past studies focusing on the visual cortex ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them into deep learning models to predict drug-side effect associations. In ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Breast cancer is a biologically heterogeneous disease in which genomic complexity, dynamic tumor evolution, and variable therapeutic response continue to ...