Results 181 to 190 of about 8,217,055 (263)

High anti-Müllerian hormone level as a predictor of poor pregnancy outcomes in women with polycystic ovary syndrome undergoing in vitro fertilization/intracytoplasmic sperm injection: a retrospective cohort study

Reproductive Biology and Endocrinology
Objective To study the correlation between anti-Müllerian hormone levels and pregnancy outcomes after in vitro fertilization/intracytoplasmic sperm injection in women with polycystic ovary syndrome, which remains controversial. Methods This retrospective
Fei Zhao, Duo Wen, Lin Zeng, Ruiqi Wang, Dingran Wang, Huiyu Xu, Rong Li, Hongbin Chi   +7 more
doaj   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

Selenium‐Integrated Cyanine Dye With Enhanced Photophysical Properties for Optoacoustic‐Guided Cancer Imaging and Therapy

Advanced Functional Materials, EarlyView.
This study introduces selenium‐integrated cyanine dye (Se‐Cyn), with superior photostability, absorption, and photothermal efficiency, outperforming ICG in NIR window. Its nanoparticle form remains stable in water, accumulates in tumors, and enables strong optoacoustic imaging and effective phototherapy outcomes.
Divyesh Shelar, Snehal Salunkhe, Tony Fröhlich, Uwe Klemm, Pia Anzenhofer, Birgit Rathkolb, Martin Hrabě de Angelis, Oliver Plettenburg, Michael Sattler, Sudesh T. Manjare, Vipul Gujrati, Vasilis Ntziachristos   +11 more
wiley   +1 more source

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Biomimetic Hybrid‐Membrane Nanoreactor for Deep‐Seated Photodynamic Immunotherapy of Hepatocellular Carcinoma via Dual Catalysis‐Enhanced ROS Amplification and cGAS‐STING Activation

Advanced Functional Materials, EarlyView.
UCNP@MnOx‐Hyp@HRM (UMHM) enables tumor targeting and accumulation. Under 808 nm NIR irradiation, PDT/CDT synergistically triggers ICD and cGAS–STING immunity for deep hepatocellular carcinoma therapy. ABSTRACT Photodynamic therapy (PDT) is promising against hepatocellular carcinoma (HCC).
Wen Li, Jianzhang Luo, Pei Lu, Dongqing Liu, Huijun Yi, Xiaoyuan Yi, Bixia Chi, Wen Chen, Qingyu Zeng, Feifei He, Liyan Wang   +10 more
wiley   +1 more source

Dual‐Alloy Exsolution in Fe‐Based Perovskite Anodes for High‐Performance Direct Ammonia Solid Oxide Fuel Cells

Advanced Functional Materials, EarlyView.
Dual FeCo and FeNi alloy nanoparticles are exsolved from a multi‐doped Fe‐based perovskite anode for high‐performance direct ammonia solid oxide fuel cells. The dual‐alloy surface coordinates electronic structure modulation and nanoparticle morphology control, providing abundant reaction sites and complementary catalytic functions for NH3 decomposition,
Jungseub Ha, Sehun Choi, Sanghwa Jeong, Minguk Kwak, Daehwan Kim, Jongcheol Gang, Taeyeol Jeon, Sujin Kim, Yongju Yun, Won Bae Kim   +9 more
wiley   +1 more source

Single‐Cell Resolution Mapping of Osteoarthritis‐Associated Chondrocyte Dynamics Using a High‐Density CMOS MEA Platform

Advanced Healthcare Materials, EarlyView.
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande, Pauline Coquart, Bram Theuns, Susanne Cremery, Jaime Rodolfo V. Garcia III, Julien Verplanken, Dennis Lambrechts, Dries Braeken, Liesbet Lagae, Johanna Bolander   +9 more
wiley   +1 more source

Bone Organoids Across the Development‐to‐Remodeling Continuum: From Tissue Formation to Functional Competence and Translation

Advanced Healthcare Materials, EarlyView.
Mineralization alone does not establish a mature bone organoid. This Review integrates biological foundations, materials design, adaptive remodeling, and translational validation through the development‐to‐remodeling continuum (DRC). By separating biological functions from the evidence supporting them, the framework exposes critical gaps in current ...
Xijie Tang, Haijia Xu, Xiangzhong Liu, Yi Yang, Zhanghua Li   +4 more
wiley   +1 more source

Bioprinted Stiffness‑Tunable Pancreatic Microniches to Decode Early Tumor Initiation Mechanisms

Advanced Healthcare Materials, EarlyView.
Stiffness‐tunable GelMA microniches generated by microvalve bioprinting preserve wild‐type acinar identity while revealing a nonlinear, Kras‐dependent response to matrix mechanics. Intermediate stiffness promotes acinar‐to‐ductal metaplasia and proliferation, defining a permissive mechanical window.
Aurelien Mazet, Charles Handschin, Theo Desigaux, Nathalie Dusserre, Marie‐Laure Stachowicz, Shane Fennell, Malou Lea, Silvia Arcucci, Benoît Thibault, Jean‐Christophe Fricain, Julie Guillermet‐Guibert, Hugo Oliveira   +11 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source