Want to know your true biological age? A new study in Engineering introduces gtAge, an innovative aging clock built by combining IgG N-glycome and blood transcriptome data with a deep reinforcement learning tool called AlphaSnake. It predicts age more accurately than single-omics models and links biological aging to key health markers like cholesterol and blood sugar, offering a clearer view of how our bodies really age over time.

A recent study in Engineering reveals that IgG fucosylation is closely tied to severe COVID-19. Researchers found altered fucosylation—especially a drop in IgG2 fucosylation—in patients, linked to disease severity and body temperature. Key enzymes FUT8 and FUCA1 regulate these changes. The study also shows that Fuzheng Jiedu Decoction may ease inflammation by targeting fucosylation, offering new clues for treating severe COVID-19.

Kaleidocycles—rotating rings made from hinged tetrahedra, are of interest for origami engineering, controllable linkage systems, and mathematics education. However, proving their existence for an arbitrary number of units has remained a challenge. In a recent study, researchers at Kyushu University developed explicit mathematical formulae showing that Kaleidocycles can be successfully constructed from six or more connected tetrahedra, uniting origami mechanisms and geometry in one exact mathematical framework.

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.