Results 121 to 130 of about 412,622 (340)

Restoration of Sensitivity in Chemo [PDF]

, 2013
Glioblastoma (GBM) is the most common and aggressive brain tumor in adults. Despite multimodal treatments including surgery, chemotherapy and radiotherapy the prognosis remains poor and relapse occurs regularly.
Boxhammer, Veronika, Klämpfl, Tobias G., Köritzer, Julia, Li, Yang-Fang, Morfill, Gregor E., Schlegel, Jürgen, Schwenk-Zieger, Sabina, Schäfer, Andrea, Shimizu, Tetsuji, Welz, Christian, Zimmermann, Julia L.   +10 more
core   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

Advanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis, Subhajit Dutta, Saqib Kamal, Sergio Gómez‐Graña, Isabel Pastoriza‐Santos, Stefan Wuttke, Lakshminarayana Polavarapu   +6 more
wiley   +1 more source

Der Bau und das Wesen des Glioma retinae¹) [PDF]

, 1896
Richard Greeff
openalex   +1 more source

Programmed cell death disrupts inflammatory tumor microenvironment (TME) and promotes glioblastoma evolution

Cell Communication and Signaling
Glioblastoma (GBM) is the most common malignant brain tumor and has a dismal prognosis even under the current first-line treatment, with a 5-year survival rate less than 7%.
Tingyu Liang, Lingui Gu, Xiaoman Kang, Junlin Li, Yixuan Song, Yu Wang, Wenbin Ma   +6 more
doaj   +1 more source

Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry. [PDF]

, 2019
To evaluate the association between a vessel size index (VSIMRI) derived from dynamic susceptibility contrast (DSC) perfusion imaging using a custom spin-and-gradient echo echoplanar imaging (SAGE-EPI) sequence and quantitative estimates of vessel ...
Chakhoyan, Ararat, Cloughesy, Timothy F, Ellingson, Benjamin M, Everson, Richard G, Lai, Albert, Leu, Kevin, Liau, Linda M, Nathanson, David A, Nghiemphu, Phioanh L, Pope, Whitney B, Prins, Robert M, Salamon, Noriko, Yao, Jingwen, Yong, William   +13 more
core   +2 more sources

Designing the Next Generation of Biomaterials through Nanoengineering

Advanced Materials, EarlyView.
Nanoengineering enables precise control over biomaterial interactions with living systems by tuning surface energy, defects, porosity, and crystallinity. This review highlights how these nanoscale design parameters drive advances in regenerative medicine, drug delivery, bioprinting, biosensing, and bioimaging, while outlining key translational ...
Ryan Davis Jr., Ishaan Duggal, Nicholas A. Peppas, Akhilesh K. Gaharwar   +3 more
wiley   +1 more source

Glioma of Retina, by Report of Three Cases Treated by Radium [PDF]

, 1918
Rex Duncan
openalex   +1 more source

TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study

Cancer Medicine
Background The 2021 WHO Classification of Central Nervous System Tumors introduces more molecular markers for glioma reclassification, including TERT promoter (TERTp) mutation as a key feature in glioblastoma diagnosis.
Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma   +23 more
doaj   +1 more source

The delta-like ligand 4-notch signaling inhibits tumor angiogenesis but promotes tumor growth in primary glioblastoma: An immunohistochemical study

Glioma, 2018
Background: Delta-like ligand 4 (DLL4) is a key Notch ligand implicated in tumor angiogenesis. However, previous studies have shown that the DLL4-Notch signaling inhibits tumor angiogenesis but promotes tumor progression in primary glioblastoma.
Yao Chen, Zhi-Xiong Lin, Jin-Tao Chen, Ming-Cheng Zheng   +3 more
doaj   +1 more source

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source