Researchers from the Institute of Metal Research (IMR) of the Chinese Academy of Sciences have developed an innovative ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Multimodal imaging, including OCT and FAF, is crucial for differentiating between AMD and IRDs, enabling precise diagnosis.

In a systematic review and meta-analysis published in the journal Molecular Psychiatry, scientists have analyzed recent evidence on the usefulness of single and multimodal neuroimaging techniques in ...

The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...

Healthy aging induces parallel changes in brain functional activity and structural morphology, yet the interplay between ...

Association of clinical characterization of renal cell carcinoma (RCC) with merlin protein deficiency and biallelic loss of NF2. This is an ASCO Meeting Abstract from the 2025 ASCO Genitourinary ...

The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial intelligence ...

The world of artificial intelligence is evolving at breakneck speed, and at the forefront of this revolution is a technology that's set to redefine how we interact with machines: multimodal AI. This ...