Low-Field Magnetic Resonance Imaging: A Full-Wave Simulation of Radiofrequency Birdcage Coils for Musculoskeletal Limb Imaging. [PDF]
Giovannetti G+3 more
europepmc +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu+4 more
wiley +1 more source
Advances in Magnetically Controlled Medical Robotics: A Review of Actuation Systems, Continuum Designs, and Clinical Prospects for Minimally Invasive Therapies. [PDF]
Kong T+7 more
europepmc +1 more source
To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang+3 more
wiley +1 more source
Restore axonal conductance in a locally demyelinated axon with electromagnetic stimulation. [PDF]
Ye H, Chen Y, Chen J, Hendee J.
europepmc +1 more source
Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography
A minimally invasive diagnostic method for bowel cancer detection combines vibrating microrobots and laser speckle contrast imaging to map tissue elasticity. By analyzing vibration‐induced resonance, detailed elasticity maps are produced, clearly differentiating tumors from healthy tissue.
Andrew Bickerdike+3 more
wiley +1 more source
Transformed magnetic force model of zero power permanent electromagnetic suspension system by using Hall effect based distance sensor. [PDF]
Zhang Z, Chen L, Luo X, Yan S.
europepmc +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Modelling, implementation and analysis of double-side slotted axial flux PMGs suitable to small-scale wind energy conversion systems. [PDF]
S R+3 more
europepmc +1 more source