Results 141 to 150 of about 2,622,049 (363)

Neural regeneration and the peripheral olfactory system [PDF]

open access: yesThe Anatomical Record, 2002
AbstractThe peripheral olfactory system is able to recover after injury, i.e., the olfactory epithelium reconstitutes, the olfactory nerve regenerates, and the olfactory bulb is reinnervated, with a facility that is unique within the mammalian nervous system.
openaire   +2 more sources

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

open access: yesAdvanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi   +10 more
wiley   +1 more source

Optogenetic Interrogation of Functional Synapse Formation by Corticospinal Tract Axons in the Injured Spinal Cord [PDF]

open access: yes, 2016
To restore function after injury to the CNS, axons must be stimulated to extend into denervated territory and, critically, must form functional synapses with appropriate targets. We showed previously that forced overexpression of the transcription factor
Balle, Eric   +8 more
core   +2 more sources

Evaluation of Stem Cell Laden Collagen + Polycaprolactone + Multi-Walled Carbon Nano-Tubes Nano-Neural Scaffold with and Without Insulin Like Growth Factor-I For Sciatic Nerve Regeneration Post Crush Injury in Wistar Rats [PDF]

open access: gold, 2023
Mamta Mishra   +9 more
openalex   +1 more source

Biosupercapacitors for Human‐Powered Electronics

open access: yesAdvanced Functional Materials, EarlyView.
Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim   +7 more
wiley   +1 more source

Learning Deep Belief Networks from Non-Stationary Streams

open access: yes, 2012
Deep learning has proven to be beneficial for complex tasks such as classifying images. However, this approach has been mostly applied to static datasets.
Calandra, R   +3 more
core   +1 more source

Enteric Neurospheres Are Not Specific to Neural Crest Cultures: Implications for Neural Stem Cell Therapies [PDF]

open access: yes, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work ...
A Barlow   +61 more
core   +6 more sources

A Self‐Curling Si3N4‐Biofunctionalized Nerve Wrap for Suture‐Free Peripheral Nerve Repair with Multimodal Regenerative Bioregulation

open access: yesAdvanced Functional Materials, EarlyView.
Si3N4‐enhanced bioactive nanostructured adhesive wrap enables rapid conduit formation in wet environments, simplifying surgical procedures. Incorporated Si3N4 undergoes controlled hydrolysis within nanofibers, multi‐directionally modulating the peripheral nerve repair microenvironment for effective suture‐free repair.
Pengchao Ma   +10 more
wiley   +1 more source

Establishment of transgenic fluorescent mice for labeling synapses and screening synaptogenic adhesion molecules

open access: yeseLife
Synapse is the fundamental structure for neurons to transmit information between cells. The proper synapse formation is crucial for developing neural circuits and cognitive functions of the brain.
Lei Yang   +9 more
doaj   +1 more source

Knowing one's place: a free-energy approach to pattern regulation. [PDF]

open access: yes, 2015
Understanding how organisms establish their form during embryogenesis and regeneration represents a major knowledge gap in biological pattern formation.
Friston, K   +3 more
core   +1 more source

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