Multimodal analysis and synthesis encompasses the integration, processing and generation of information from diverse data channels – such as text, images, audio and video – within a unified framework.

A Targeted Methylation–Based Multicancer Early Detection Blood Test Preferentially Detects High-Grade Prostate Cancer While Minimizing Overdiagnosis of Indolent Disease Enzymatic conversion–mediated ...

This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...

We analyzed 4,427 patients with MDS divided into training and validation cohorts. Deep learning methods were applied to integrate and impute clinical/genomic features. Clustering was performed by ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Advanced deep learning (DL) and large language models (LLMs) decode multimodal imaging-omics associations across modalities, scales, organs, and diseases. The framework enables interpretable analysis ...

Researchers have traditionally employed histopathology techniques, which involve the microscopic examination of tissue, to gain insight into disease processes. This approach often leads to subjective ...

BEIJING, Sept. 7, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...