Results 241 to 250 of about 1,469,319 (329)
This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban+5 more
wiley +1 more source
Engineering Magnetotactic Bacteria as Medical Microrobots
Magnetotactic bacteria (MTB) are living microorganisms that produce magnetosomes for navigation using the Earth's geomagnetic field. Their built‐in magnetic components, along with their intrinsic and/or modified biological functions, make them one of the most promising platforms for making future living and programmable microrobots.
Jiaqi Wang+9 more
wiley +1 more source
A British Society of Gastrointestinal and Abdominal Radiology multi-centre audit of imaging investigations in inflammatory bowel disease. [PDF]
Taylor K+8 more
europepmc +1 more source
This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology. [PDF]
Krishnamurthy S.
europepmc +1 more source
Chordoma. Evaluation of clinical behavior and treatment modalities
Hamed H. Tewfik+3 more
openalex +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Student engagement assessment using multimodal deep learning. [PDF]
Yan L, Wu X, Wang Y.
europepmc +1 more source
A Cross-Modal Investigation of Spatial Performances in Patients with Unilateral Cerebral Disease
H.L. Dee, Arthur L. Benton
openalex +1 more source