AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...

Its deal with Merck & Co. is the latest in a series of Variational AI collaborations. (iStock/Getty Images Plus) Merck & Co. has doubled down on its partnership with Variational AI, striking a deal ...

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...

This study presents a deep learning framework for the forward prediction of band structures and the inverse design of metamaterials. For forward prediction, a convolutional neural network is trained ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Eutectic alloys have garnered significant attention due to their promising mechanical and physical properties, as well as their technological relevance. However, the discovery of eutectic ...

Researchers have long sought to bridge the gap between phenotypes and the genotypes that cause them. This gap remains open because current methods focus on associating phenotypes to a combinatorially ...