A research paper by scientists at University of Oxford presented a humanoid robotic bioreactor capable of delivering human-like shoulder motions to engineered tendon constructs, enabling controlled multiaxial stimulation with real-time strain monitoring.

The research paper, published on Mar 24, 2026 in the journal Cyborg and Bionic Systems.

A research paper by scientists from Tongji University developed a groundbreaking mechanotransduction-aware therapeutic platform that enhances the efficacy of mesenchymal stem cell (MSC) therapy for acute lung injury (ALI).

The new research paper, published on Mar. 24 in the journal Cyborg and Bionic Systems, proposed a mechanotransduction-aware strategy for enhancing MSC potency via 3D culture and localized delivery.

A research paper by scientists from Chinese Academy of Sciences proposed a hybrid frequency–phase–space encoding method, integrated with high-density electroencephalogram (EEG) recordings, to develop high-speed BCI systems.

The new research paper, published on Mar. 26 in the journal Cyborg and Bionic Systems, developed a groundbreaking visual brain-computer interface (BCI) that sets a new benchmark for noninvasive BCI communication speed.

Photoacoustic tomography offers high-resolution visualization of biological tissues. However, restrictions such as reduced transducer counts or incomplete detection geometries render the inverse problem severely ill-posed, leading to marked degradation in reconstructed images. Although diffusion models have recently shown strong promise for image restoration, existing architectures can be computationally intensive or insufficiently expressive for the complexities of PAT. We introduce a time-driven transformer-based photoacoustic diffusion model (TT-PADM) that directly restores high-quality images from limited-view and sparse-view PAT reconstructions. TT-PADM uses a time-driven transformer within a time-dependent noise-estimation network, reducing model parameters by over 80% relative to conventional transformer designs while enhancing the generative capacity of the diffusion process.