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.

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.

Pioneering conservation research conducted by the University of Sheffield has led to the first successful artificial incubation of Aldabra Giant Tortoises in the Seychelles

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.

AlphaFold 3 (AF3), the latest AI model from Google DeepMind and Isomorphic Labs, can predict the structures and interactions of nearly all biomolecules with unprecedented accuracy, opening new avenues for drug design, vaccine development, and precision medicine.

Relative weights analyses showed the neglect/interference/punishment domain contributed most significantly (28.78%) to behavior problems in preschool children with developmental disabilities.

Temperature sensing plays a pivotal role in controlling and monitoring industrial, chemical, and biomedical systems. There are some complex internal space structures such as porous and zigzag in microscale or constrained environments. Traditional temperature measurement techniques such as thermocouples, infrared sensors, and fiber optics face larger challenges in such specific environments. This is not only due to their size but also because of limitations in mechanical flexibility, spatial adaptability, or contact requirements restrictions. To overcome these challenges, researchers have explored various nanoscale thermometers, including quantum dots, lanthanide-doped nanoparticles, and nitrogen-vacancy (NV) centers in diamond. These temperature measurement methods offer high spatial resolution and a broad temperature measurement range, but they typically require continuous light excitation and real-time fluorescence detection. It makes them difficult to implement effectively in complex porous structures or confined internal spaces.