Results 141 to 150 of about 6,415,449 (238)

Glioblastoma recurrence: An NGS-centered seed-soil framework. [PDF]

Neoplasia
Xu JY, Chen J, Feng W, Yi GZ.
europepmc   +1 more source

A Magneto‐Mechanically Activated Nerve Guidance Conduit Promotes Peripheral Nerve Regeneration via TIMP1‐Mediated Membrane Tension Transfer

Advanced Functional Materials, EarlyView.
This study presents a magneto‐mechanical strategy that incorporates FP@MSCs into an aligned PCL/GelMA nerve guidance conduit. Magnetic stimulation increases membrane tension in FP@MSCs, triggering cytoskeletal remodeling, Schwann cell‐like differentiation, and TIMP1 secretion. TIMP1 activates ITGB1/CD63–FAK signaling in NE‐4C cells, increasing membrane
Xinyu Zhu, Yumin Wu, Xiang Gao, Tianlu Wang, Wanting Jia, Xueying Mei, Huanzhong Ji, Zongxi Wu, Yujie Liang, Xiang Li, Kan Li, Jingyuan Li, Guangsen Zheng, Guiqing Liao, Siyong Gao   +14 more
wiley   +1 more source

Bioengineered human brain organoids and organ-on-chip platforms for exposure-aware assessment of developmental neurotoxicity induced by general anesthetics and sedatives. [PDF]

Front Bioeng Biotechnol
Yue J, Pan C, Lu C, Song Z.
europepmc   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Reframing brain aging: neuroinflammation as an interconnected network process. [PDF]

Front Aging
Müller L, Di Benedetto S, Müller V.
europepmc   +1 more source

Protein‐Nanoarchitectures for Low‐Field Intracellular Electro‐Immunomodulation

Advanced Functional Materials, EarlyView.
DHQ‐SDH‐mediated binding of AuNPs drives the formation of interconnected, chain‐like nanoarchitectures with enhanced electrical conductivity. These conductive assemblies undergo macrophage uptake and enable low‐field electrical stimulation, promoting M1‐to‐M2 phenotypic switching with decreased iNOS and increased CD206 expression. Such protein‐mediated
Viktoriya Pakharenko, Djanira Rodrigues Negrão, Tanmay Gupta, Robert Jeng, Otavio Augusto Titton Dias, Maia Jaffer‐Diaz, Dinesh Christendat, Mohini Sain   +7 more
wiley   +1 more source

The hippocampal subgranular zone neurogenic niche: a modular perspective on neural stem cell regulation. [PDF]

Front Cell Neurosci
Zhao T, Zhou Y, Pan P, Jia Y, Zhang X, An Z, Yan J, Li Q, Zhou Y.   +8 more
europepmc   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data. [PDF]

PLoS Comput Biol
Guo H, Wu T, Wang W, Jiang Y, Li G, Nie L, Jia Y, Quan L, Huang M, Lyu Q.   +9 more
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source