Recent progress in nanomedicines for imaging and therapy of brain tumors

Hasan, Ikram; Roy, Shubham; Du, Shiwei; Tao, Wei; Chang, Chunqi

doi:10.1039/d2bm01572b

Cited by 7 publications

(5 citation statements)

References 182 publications

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“…70 As a burgeoning diagnostic imaging technique, photoacoustic (PA) imaging has the potential to surpass the penetration limitations of optical imaging. 71,72 It achieves this by capturing pressure waves induced in laser-irradiated tissues, making use of its low tissue-attenuation coefficient. This capability enables real-time visualization of biological structures and functional details.…”

Section: Graphene and Mxenes: Advancing Bioimaging For Precision Medi...mentioning

confidence: 99%

Tailored MXenes and graphene as efficient telemedicine platforms for personalized health wellness

Khondakar,

Tripathi,

Mazumdar

et al. 2024

Mater. Adv.

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Section: Graphene and Mxenes: Advancing Bioimaging For Precision Medi...mentioning

confidence: 99%

Tailored MXenes and graphene as efficient telemedicine platforms for personalized health wellness

Khondakar,

Tripathi,

Mazumdar

et al. 2024

Mater. Adv.

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“…By using new methods of synthesis, antibacterial nanoparticles can even be used against antibiotic-resistant bacteria and control them. [8][9][10][11][12] These particles destroy bacteria in different ways, so bacteria cannot easily become resistant to them. [7,13] The science of nanotechnology has developed to such an extent that today commercial products with nanotechnology are expanding significantly.…”

Section: Introductionmentioning

confidence: 99%

Procedure Optimization for Green Synthesis of Magnetic‐Copper Nanoparticles by Aqueous Alcea Medicinal Plant Extract and Their Photocatalytic Properties

Abdirad,

Kamran‐Pirzaman

2024

ChemistrySelect

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In this research, the biosynthesis method was used for Fe3O4/CuO core‐shell nanocomposite using by aqueous Alcea medicinal plant extract, which aimed to synthesize antibacterial substances against common resistant bacteria. Antibacterial effects of various samples synthesized in different concentrations were evaluated against gram‐positive and negative bacteria in Mueller Hilton agar culture medium. The photocatalytic properties were carried out in a period of 140 minutes, and the maximum effect of the sample was 76 % in 100 minutes. FTIR, SEM, EDX and XRD tests confirmed the correct to design the experiment. synthesis of the nanocomposite with an average size of 38 nm and a surface charge of 23.1 mV. To obtain the best and most effective conditions for the synthesis of antibacterial nanoparticles, the CCD method was used. The main purpose of this research work is to use a medicinal plant as a reducer in the synthesis of metal composite nanoparticles, which plant itself has healing and antimicrobial properties in traditional medical science.

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“…Radiation and laser therapy greatly rely on accurate tumor segmentation. Otherwise, it can be harmful to several sensitive nerves [5]. Medical treatment first requires doctors to give diagnostic results while observing the lesions.…”

Section: Introductionmentioning

confidence: 99%

Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives

Karim,

Tong,

et al. 2024

IEEE Access

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The human brain is an incredible and wonderful organ that governs all body actions. Due to its great importance, any defect in the shape of its regions should be reported quickly to reduce the death rate. The abnormal region segmentation helps to plan and monitor the treatment. The most critical procedure is isolating normal and abnormal tissues from each other. So far, remarkable imaging modalities are being used to diagnose abnormalities at their early stages, and magnetic resonance imaging (MRI) is renowned and noninvasive among those modalities. This paper investigates the current landscape of brain tumor segmentation (BTS) by exploring emerging deep learning (DL) methods for brain MRI analysis. The findings offer a comprehensive comparison of recent DL approaches, emphasizing their effectiveness in handling diverse tumor types while addressing limitations associated with data scarcity and robust validation. DL has shown a vital improvement for BTS, so our primary focus is to include significant DL robust models to analyze the brain MRI. However, DL outperforms traditional methods; still, there are several limitations, especially related to the diverse tumor types, lack of datasets, and weak validations. The future perspectives of DL-based BTS present significant potential for revolutionizing the diagnosis and treatment of brain tumors.

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Recent progress in nanomedicines for imaging and therapy of brain tumors

Abstract: Nowadays, malignant brain tumor is one of the most life-threatening diseases with poor prognosis, high risk of recurrence, and low survival rate for patients, because of the existence of the...

Cited by 7 publications

References 182 publications

Tailored MXenes and graphene as efficient telemedicine platforms for personalized health wellness

Tailored MXenes and graphene as efficient telemedicine platforms for personalized health wellness

Procedure Optimization for Green Synthesis of Magnetic‐Copper Nanoparticles by Aqueous Alcea Medicinal Plant Extract and Their Photocatalytic Properties

Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives

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