Results 231 to 240 of about 213,330 (331)
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Scientific Advances in Neural Regeneration After Spinal Cord Injury. [PDF]
Gartit M +5 more
europepmc +1 more source
Current Advancements in Spinal Cord Injury Research-Glial Scar Formation and Neural Regeneration. [PDF]
Clifford T +4 more
europepmc +1 more source
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma +10 more
wiley +1 more source
Spinal cord injury and inflammatory mediators: Role in "fire barrier" formation and potential for neural regeneration. [PDF]
Zhou M, Xu Z, Zhong H, Ning G, Feng S.
europepmc +1 more source
Engineering novel, nanofibrous scaffolds to promote neural regeneration in parkinson's disease
Alexandra L. Rodriguez
openalex +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
Photonic reservoir computing approaches to nanoscale computation [PDF]
Bienstman, Peter +2 more
core +1 more source
c-Myc and FOXO3a-The Everlasting Decision Between Neural Regeneration and Degeneration. [PDF]
Khaitin AM +3 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

