It can be found inside gas giants such as Jupiter and is briefly created during meteorite impacts or in laser fusion ...

An artificial intelligence (AI) model developed by Google DeepMind in London could help scientists to make sense of this ...

Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.

A summary of preclinical evaluation methods for neuroendovascular devices, including in vitro techniques, 3D-printed vascular models, in silico simulations, and in vivo models.

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Representative examples (which are by no means intended to be exhaustive) include global optimization via metaheuristic combined with regularization, 91 automated regularized global optimization with ...

Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making ...

The integration of ligand- and structure-based strategies might sensitively increase the success of drug discovery process. We have recently described the application of Molecular Electrostatic ...

A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...

The examples discussed above illustrate that the integration of deep learning with physical models can yield reliable computational models for molecular glue systems. While cryo-electron microscopy ...

This work presents the development of 3D computational models that represent two studies about in-vitro cellular experimentation of cell stimulated by magnetic and electric field. The development ...