CXCR4-antagonistic peptide-decorated lipid nanoparticles for co- delivery of AML1-ETO siRNA to enhance chemotherapy in refractory AML. [PDF]
Peng X +9 more
europepmc +1 more source
Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley +1 more source
What are patients' and healthcare professionals' views on managing penicillin allergy? A qualitative evidence synthesis. [PDF]
Kildonaviciute K +4 more
europepmc +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Machine Learning-Driven Sensitivity Analysis for a 2-Layer Printed Circuit Board Inductive Motor Position Sensor. [PDF]
Lin Q, Sullivan D, Moore D, Tong D.
europepmc +1 more source
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang +13 more
wiley +1 more source
Inductive Sensor Characteristics for Conductivity Measurement of Non-Ferromagnetic Metals Based on Single-Layer Solenoid. [PDF]
Wang H +6 more
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
An updated modeling framework and sensitivity analysis of methodology for the climate health vulnerability index. [PDF]
Wang P +6 more
europepmc +1 more source

