Novice chess players rely extensively on their ability to recognize familiar board patterns rather than purely calculating ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...

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Proteins are the foundation of all life we currently know. With their virtually limitless diversity, they can perform a broad variety of biological functions, from delivering oxygen to cells and ...

Investigating the extent to which structural encodings in geometric methods contribute in capturing topological information and developing a generic framework (ToGePi) to inject topological and ...

Abstract: Geometric deep learning is an umbrella term for emerging techniques attempting to generalize (structured) deep neural models to non-Euclidean domains, such as graphs and manifolds. The ...

Machine learning force fields (MLFFs) have instigated a groundbreaking shift in molecular dynamics (MD) simulations across a wide range of fields, such as physics, chemistry, biology, and materials ...

Geometric deep learning has been revolutionizing the molecular dynamics simulation field over a decade. Although the state-of-the-art neural network models are approaching ab initio accuracy for ...