Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The loss or failure of an organ/tissue stands as one of the healthcare system's most prevalent, devastating, and costly challenges. Strategies for neural tissue repair and regeneration have received significant attention due to their particularly strong impact on patients' well-being. Many research efforts are dedicated not only to control the disease symptoms but also to find solutions to repair the damaged tissues. Neural tissue engineering (TE) plays a key role in addressing this problem and significant efforts are being carried out to develop strategies for neural repair treatment. In the last years, active materials allowing to tune cell-materials interaction are being increasingly used, representing a recent paradigm in TE applications. Among the most important stimuli influencing cell behavior are the electrical and mechanical ones. In this way, materials with the ability to provide this kind of stimuli to the neural cells seem to be appropriate to support neural TE. In this scope, this review summarizes the different biomaterials types used for neural TE, highlighting the relevance of using active biomaterials and electrical stimulation. Furthermore, this review provides not only a compilation of the most relevant studies and results but also strategies for novel and more biomimetic approaches for neural TE.

Download full-text PDF

Source
http://dx.doi.org/10.1002/adhm.202301494DOI Listing

Publication Analysis

Top Keywords

strategies neural
12
neural tissue
12
neural
8
state art
4
art current
4
current challenges
4
challenges electroactive
4
electroactive biomaterials
4
strategies
4
biomaterials strategies
4

Similar Publications

Obsessive-compulsive disorder (OCD) is a chronic and disabling condition affecting approximately 3.5% of the global population, with diagnosis on average delayed by 7.1 years or often confounded with other psychiatric disorders.

View Article and Find Full Text PDF

Early-life experiences shape neural networks, with heightened plasticity during the so-called "sensitive periods" (SP). SP are regulated by the maturation of GABAergic parvalbumin-positive (PV+) interneurons, which become enwrapped by perineuronal nets (PNNs) over time, modulating SP closure. Additionally, the opening and closing of SP are orchestrated by two distinct gene clusters known as "trigger" and "brake".

View Article and Find Full Text PDF

Deep learning approaches have improved disease diagnosis efficiency. However, AI-based decision systems lack sufficient transparency and interpretability. This study aims to enhance the explainability and training performance of deep learning models using explainable artificial intelligence (XAI) techniques for brain tumor detection.

View Article and Find Full Text PDF

Two-Step Semi-Automated Classification of Choroidal Metastases on MRI: Orbit Localization via Bounding Boxes Followed by Binary Classification via Evolutionary Strategies.

AJNR Am J Neuroradiol

September 2025

From the Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America (J.S.S., B.M., S.H., A.H., J.S.), and Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India (H.S.).

Background And Purpose: The choroid of the eye is a rare site for metastatic tumor spread, and as small lesions on the periphery of brain MRI studies, these choroidal metastases are often missed. To improve their detection, we aimed to use artificial intelligence to distinguish between brain MRI scans containing normal orbits and choroidal metastases.

Materials And Methods: We present a novel hierarchical deep learning framework for sequential cropping and classification on brain MRI images to detect choroidal metastases.

View Article and Find Full Text PDF

The paraventricular thalamic nucleus (PVT) integrates subcortical signals related to arousal, stress, addiction, and anxiety with top-down cortical influences. Increases or decreases in PVT activity exert profound, long-lasting effects on behavior related to motivation, addiction and homeostasis. Yet the sources of its subcortical excitatory and inhibitory afferents, their distribution within the PVT, and their integration with layer-specific cortical inputs remain unclear.

View Article and Find Full Text PDF