Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder. [PDF]
Willsey MS +7 more
europepmc +1 more source
A brain‐adhesive sensor (B‐Sensor) was developed by integrating a self‐healing biodegradable elastomer, a tissue‐adhesive hydrogel, and molybdenum electrodes. The B‐Sensor adheres to brain tissue, conforms to cortical curvatures, and maintains stable electrical performance over the intended period for reliable recording of spatiotemporal brain activity
Heewon Choi +8 more
wiley +1 more source
Decoding motor plans using a closed-loop ultrasonic brain-machine interface. [PDF]
Griggs WS +10 more
europepmc +1 more source
Bone Organoids: A Novel Tool for Modeling and Managing Skeletal Disorders in Diabetes
This review synthesizes advances in bone organoid engineering and evaluates their potential to model diabetic bone fragility. Current in vitro and animal models do not fully recapitulate diabetes‐associated skeletal phenotypes. Cell‐based and scaffold‐based bone organoids are discussed as complementary approaches to reconstruct multicellular bone ...
Shuangzhe Lin +2 more
wiley +1 more source
Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian +7 more
wiley +1 more source
Transitioning from global to local computational strategies during brain-machine interface learning. [PDF]
Bridges NR, Stickle M, Moxon KA.
europepmc +1 more source
Physiological Artifacts and the Implications for Brain-Machine-Interface Design. [PDF]
Sorkhabi MM +3 more
europepmc +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Development of optically controlled "living electrodes" with long-projecting axon tracts for a synaptic brain-machine interface. [PDF]
Adewole DO +10 more
europepmc +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source

