A Research review reframes antimicrobial peptides as multifunctional regulators that may connect infection, inflammation, and amyloid pathology across major human diseases.

A review paper by scientists from Imperial College London examined how sensor‑integrated suits and soft exoskeletons could replace traditional exercise hardware with lightweight, modular, and intelligent systems that provide real‑time monitoring, dynamic loading, and personalized training—all while fitting inside a cramped spacecraft.

The new research paper, published on Apr. 17 in the journal Cyborg and Bionic Systems, discussed the challenges of the outer space environment and the musculoskeletal health complications derived from prolonged exposure. The currently employed solutions to address these complications are discussed, along with their limitations and potential solutions.

A research paper by scientists from Huazhong University of Science and Technology presented a jellyfish-inspired magnetic soft robot (J-MSR) capable of ultrafast swimming and seamless multimodal motion transitions in liquid environments.

The new research paper, published on Apr. 3 in the journal Cyborg and Bionic Systems, developed a jellyfish‑inspired magnetic soft robot (J‑MSR) that combining record‑breaking speed with seamless multimodal motion and functional integration.

A new study published in Research describes a deep-learning system designed to assist lumbar spine MRI at the point of image acquisition rather than only after scanning. The system, named Lumbar VNet Pro (LVP), was embedded directly into the MRI workflow and evaluated in a multicenter clinical setting. According to the study, the platform supports automated anatomical localization, scan-plane optimization, and real-time structural analysis during MRI scanning, offering a possible route toward more standardized and intelligent imaging workflows.