Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis.

In this work, we demonstrate how computational multi-scale brain modeling links phenomena of different scales and therefore identifies potential disease mechanisms leading the way to improved ...

Performance in reversal learning can be modeled using computational modeling which allows for the specification of biologically plausible models to infer psychological mechanisms. Although such models ...

How do languages balance the richness of their structures with the need for efficient communication? To investigate, ...

That was the first time I had come across machine learning and artificial intelligence.” For Lan Li, this moment as a senior ...

Using Parkinson’s disease as a case study, we review here how computational models are a crucial tool for taming this complexity, across causative mechanisms, consequent neural dynamics and treatments ...

A new study from the University of California San Diego has developed an innovative computational tool that can help ...

A recent study carried out my a group from MIT has introduced MDGen, a generative modeling approach for molecular dynamics ...

Results A two-dimensional computational fluid dynamic model reproducing the shape of a published aneurysm demonstrated excellent qualitative fidelity to an in vitro flow model. Additional information ...