Results 181 to 190 of about 424,107 (362)

Need for specialized neuro-oncology units in low- and middle-income countries: Lessons learned from the COVID-19 pandemic

open access: yesGlioma, 2021
Jhoan Sebastián Robledo-Arias   +3 more
doaj   +1 more source

Neuroscience in glioma biology (Review). [PDF]

open access: yesOncol Rep
Zhang C, Zhang H, Cao J, Liu M.
europepmc   +1 more source

Intelligent Theranostic Systems Enabled by Aggregation‐Induced Emission in Precision Medicine

open access: yesAggregate, EarlyView.
Aggregation‐induced emission (AIE) luminogens are driving a new generation of intelligent theranostic systems that integrate high‐fidelity imaging and multifunctional therapy. This review highlights how AIEgens, through restriction of intramolecular motion (RIM), enable deep‐tissue NIR‐II imaging, ultrasensitive biosensing, CRISPR‐assisted gene ...
Qinqin Huang   +7 more
wiley   +1 more source

State of the art: glioma-associated epilepsy-bridging tumor biology and epileptogenesis. [PDF]

open access: yesNeurol Res Pract
Divé I   +7 more
europepmc   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Secretion of nerve growth factor by central nervous system glioma cells in culture. [PDF]

open access: bronze, 1977
Richard A. Murphy   +6 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

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