A research paper by scientists from East China University of Science and Technology, University of Applied Sciences Campus Vienna, and other institutions proposed a domain generalization model (DGIFE) for electroencephalography (EEG) signals, featuring structured feature decoupling and fine-grained data augmentation to address the domain bias challenge in cross-subject brain-computer interface (BCI) applications.

A research paper by scientists from Guangzhou University of Chinese Medicine described a framework that leverages bionic, wearable electrocardiogram (ECG) sensor technologies along with multimodal large language models using a coherent temporal modeling effort to address the intertwining of fine-grained temporal dependencies, heterogeneous biomedical modalities, and interpretable risk stratification.

The new research paper, published on Mar. 02 in the journal Cyborg and Bionic Systems, unveiled a first-of-its-kind intelligent cardiovascular monitoring framework that merges bionic wearable ECG technology with multimodal large language models, achieving unprecedented accuracy in early myocardial ischemia detection and post-reperfusion risk stratification.

Nature has long inspired some of engineering's most remarkable innovations. For more than 500 million years, the blood-sucking lamprey has survived in turbulent rivers by clinging tightly to prey and rocks. Now, researchers have turned this ancient biological strategy into a technological breakthrough, overcoming a longstanding challenge in robotics: enabling strong, reliable attachment to extremely rough surfaces in both air and water.

A research team from Peking University has developed a “hybrid adhesion suction disc” inspired by the lamprey's unique mouth structure. This compact device can adapt to almost any surface and lift objects hundreds of times its own weight, offering a breakthrough for for new applications in amphibious robotics, deep-sea exploration, and underwater manipulation.

They published their findings on February 24 in the journal Cyborg and Bionic Systems.

In their Research review article, “Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation,” Hairong Zheng and Shanshan Wang (Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.) et al. provide a comprehensive overview of recent advances in generative modeling for medical imaging.