A research paper by scientists at Capital Medical University validates the necessity of integrating cognitive–motor strategies for the motor rehabilitation of PD and identifies novel neural markers for assessing treatment efficacy.

The new research paper, published on Jun. 19, 2025 in the journal Cyborg and Bionic Systems, presented neuroplasticity driven by attentional network activation and the dynamic reallocation of attentional resources are the core mechanisms by which short-term MIRT facilitates compensatory motor function and the necessity of developing intervention strategies that integrate cognitive–motor dual regulation.

A research paper by scientists at the Soochow University proposed a novel magnetically actuated device based on a hybrid electromagnetic coil and permanent magnet control system.

The research paper, published on Jun. 24, 2025 in the journal Cyborg and Bionic Systems, presented a hybrid magnetic actuation system that extends the functional capabilities of miniature ferrofluidic robot (MFR) through synergistic multi-physical interactions.

A research paper by scientists at the Shanghai University proposed an innovative approach to object property perception utilizing triboelectric–magnetoelastic sensing.

The research paper, published on Jul. 2, 2025 in the journal Cyborg and Bionic Systems, presented a multimodal tactile sensing device (MMTSD) based on triboelectric–magnetoelastic, which has anthropomorphic tactile sensation. This MMTSD effectively interfaces the triboelectric nanogenerator (TENG) array with the MEG through silica gel, enabling it to stably perceive the properties of objects within an open environment.

A research paper by scientists at the Harbin Institute of Technology proposed a novel centimeter-scale quadruped piezo robot. The robot’s locomotion is generated by multi-dimensional vibration trajectories at the feet, which are produced through a novel built-in actuation method.

The research paper, published on Jul. 22, 2025 in the journal Cyborg and Bionic Systems, presented a novel centimeter-scale quadruped piezoelectric robot with high integration and strong robustness, which promises to bring new perspectives for the construction and application of centimeter-scale robots.

Soil pollution from pesticides, pharmaceuticals, and industrial chemicals is a growing threat to global food security and public health. With nearly 80 percent of agricultural soils containing traces of organic contaminants, researchers are looking for sustainable ways to restore damaged land. A new study in Biochar highlights an emerging solution that pairs plant-microbe partnerships with biochar, an engineered carbon-rich material—to detoxify polluted soils while supporting plant growth and economic resilience.

Engineers and scientists, as well as artists, have long been inspired by the beauty and functionality of nature’s designs. Japan designed high-speed trains to cut through the air as smoothly as the kingfisher cuts through water, for example, but useful designs can also be found at a microscopic level. The study of biology in combination with materials science is called biomateriomics. An Italian research team sees great potential in the application of generative artificial intelligence to this already interdisciplinary field. They have described this potential, and the associated limitations and challenges, in an open access review article titled “Generative Artificial Intelligence for Advancing Discovery and Design in Biomateriomics,” published May 1 in Intelligent Computing, a Science Partner Journal.

A review paper by scientists at the University of Oxford highlights recent advancements in SMTE, including innovations in scaffold design, cell sourcing, usage of external physicochemical cues, and bioreactor technologies.

The review paper, published on May. 15, 2025 in the journal Cyborg and Bionic Systems, presented the emerging synergies between SMTE and robotics, focusing on the use of robotic systems to enhance bioreactor performance and the development of biohybrid devices integrating engineered muscle tissue.

A research paper by scientists at Duke University proposed a novel sharp-edge acoustofluidic platform designed for rapid and effective sample preparation, coupled with sensitive detection of specific sEV populations based on their surface markers.

The new research paper, published on July. 17 in the journal Cyborg and Bionic Systems, presented an acoustofluidic technology which enables highly flexible, specific, and efficient capture and detection of circulating extracellular vesicles (sEVs) from small sample volumes. Its portability, low cost, and ease of use make it an ideal tool for point-of-care detection of sEV surface markers, while its modular design allows for one-step, high-throughput capture and detection of diverse sEV populations

An international team of researchers has reviewed the latest advances in multimodal artificial intelligence (AI) for cardiovascular diseases (CVD), highlighting its superior diagnostic accuracy, risk prediction, and therapeutic guidance compared with traditional single-data approaches. The review outlines how integrating imaging, genomics, electronic health records, and wearable data into unified AI models can enable earlier diagnosis, personalized therapy, and continuous remote monitoring, heralding a new era of precision cardiology.

A large-scale genetic study comparing Chinese and UK patients with hypertrophic cardiomyopathy (HCM) reveals significant ethnic differences in rare variant burden and specific mutations, highlighting the need for ancestry-aware genetic diagnostics and personalized medicine.