The model is based on a 3D reconstruction of the heart of each patient, resorting to a computerized tomography (scan) of the left atrium, and can help to medical professionals who perform this ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide and eventually turn into shapes—be they organs, wings or limbs. Subscribe to ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the most common type of arrhythmia and the leading cardiac cause of stroke. While ...

How do we think, feel, remember, or move? It all depends on transmission of chemical signals in the brain, carried and released by molecular containers called vesicles. In a new study, researchers ...

The recent creation of the NIH Office of Research Integrity, Validation, and Adoption of New Approach Methodologies (ORIVA) is more than just an administrative shift. It represents a historic ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...