In a recent study published in Communications Psychology, researchers from NYU led by Associate Professor of Biomedical ...

When dealing with clinical text classification on a small dataset, recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, including deep ...

In this work, we propose a novel deep learning method that integrates sequence and structural information to infer miRNA–drug associations (MDAs), called DLST-MDA. This approach innovates by utilizing ...

In recent years, deep learning (DL) has accelerated the development of hyperspectral image (HSI) processing, expanding the range of applications further. As a typical model of unsupervised DL, the ...

ACE-Step bridges this gap by integrating diffusion-based generation with Sana’s Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer. It further leverages MERT and m-hubert to ...

Our results suggest that a deep learning model can estimate biological age from face photographs and thereby enhance survival prediction in patients with cancer. Further research, including validation ...