Biodegradable nanoparticle-assisted and multiplexed imaging of asymmetric RNA expressions in live cells for precise cancer diagnosis and prognosis

Nanoscale ◽  
2020 ◽  
Vol 12 (47) ◽  
pp. 24100-24106
Author(s):  
Xia Li ◽  
Fang Yang ◽  
Chunfang Gan ◽  
Ruo Yuan ◽  
Yun Xiang
Keyword(s):  
Cancer Cells ◽  
Cancer Diagnosis ◽  
Live Cells ◽  
Diagnosis And Prognosis ◽  
Multiplexed Imaging ◽  
Biodegradable Nanoparticle ◽  
Cancer Diagnosis And Prognosis

Simultaneous and amplified imaging of asymmetrically expressed RNAs in live cancer cells by the biodegradable ZnO/DNAzyme nanoparticle probe.

scholarly journals Deep Learning Application in Leukemia Diagnosis

2021 ◽  
pp. 1-11
Author(s):  
Suja A. Alex ◽  
Gerald Briyolan. B ◽  
Godwin. V
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Cancer Cells ◽  
Cancer Diagnosis ◽  
Clinical Implementation ◽  
Diagnosis And Prognosis ◽  
Early Cancer Diagnosis ◽  
Cancer Diagnosis And Prognosis ◽  
General Statistical ◽  
The Cost

Cancer is an aggressive disease with a low median survival rate. Technically, the cost of the treatment is high due to its high recurrence and mortality rates. Accurate and early diagnosis is needed to cure cancer. Even though, there is a lot of applications in the field of medical by using Artificial Intelligence. Artificial Intelligence (AI), especially machine learning and deep learning, has found as popular application in clinical cancer researches in recent years. The prediction of cancer cells has been reached new heights, as the technology is improved day-by-day and lots of devices are invented to detect and to cure cancer cells. Artificial Intelligence (AI)assist cancer diagnosis and prognosis, specifically with regards with unprecedented accuracy, which is even higher than that of general statistical applications in Oncology. There are different types of cancer cells and to destroy these cells, humans required certain technologies to locate and identify the type of cancer. It is very complicated to cure the cancer if it is not found in the early days. This article is about the LEUKEMIA (Blood cancer) and the technologies used for curing Leukemia. The opportunities and the challenges faced in the clinical implementation of Artificial Intelligence (AI).Machine Learningis used to save a life in advance by the early cancer diagnosis and prognosis in the present and in future too.

scholarly journals Biomechanical Properties of Cancer Cells

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 887
Author(s):  
Gaël Runel ◽  
Noémie Lopez-Ramirez ◽  
Julien Chlasta ◽  
Ingrid Masse
Keyword(s):  
Cancer Cells ◽  
Cancer Diagnosis ◽  
Crucial Role ◽  
Biomechanical Properties ◽  
Supplementary Information ◽  
Cancer Cell Growth ◽  
Diagnosis And Prognosis ◽  
Surrounding Environment ◽  
Surrounding Extracellular Matrix

Since the crucial role of the microenvironment has been highlighted, many studies have been focused on the role of biomechanics in cancer cell growth and the invasion of the surrounding environment. Despite the search in recent years for molecular biomarkers to try to classify and stratify cancers, much effort needs to be made to take account of morphological and nanomechanical parameters that could provide supplementary information concerning tissue complexity adaptation during cancer development. The biomechanical properties of cancer cells and their surrounding extracellular matrix have actually been proposed as promising biomarkers for cancer diagnosis and prognosis. The present review first describes the main methods used to study the mechanical properties of cancer cells. Then, we address the nanomechanical description of cultured cancer cells and the crucial role of the cytoskeleton for biomechanics linked with cell morphology. Finally, we depict how studying interaction of tumor cells with their surrounding microenvironment is crucial to integrating biomechanical properties in our understanding of tumor growth and local invasion.

Ultra-sensitive MicroRNA-21 detection based on multiple cascaded strand displacement amplification and CRISPR/Cpf1 (MC-SDA/CRISPR/Cpf1)

2021 ◽  
Author(s):  
Xiaolong Chen ◽  
Yuanyi Deng ◽  
Gaihua Cao ◽  
Yifan Xiong ◽  
Danqun Huo ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Analytical Method ◽  
Strand Displacement ◽  
Strand Displacement Amplification ◽  
Diagnosis And Prognosis ◽  
Potential Biomarker ◽  
Cancer Diagnosis And Prognosis

MicroRNA-21 (miR-21) has been considered as a potential biomarker for cancer diagnosis and prognosis due to its highly expressed in tumors. Here, an analytical method which integrates the multiple cascaded...

Emerging technologies and commercial products in Exosome-Based Cancer Diagnosis and Prognosis

2021 ◽  
pp. 113176
Author(s):  
Mehdi Mohammadi ◽  
Hossein Zargartalebi ◽  
Razieh Salahandish ◽  
Raied Aburashed ◽  
Kar Wey Yong ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Emerging Technologies ◽  
Commercial Products ◽  
Diagnosis And Prognosis ◽  
Cancer Diagnosis And Prognosis

scholarly journals Potential applications of MEG3 in cancer diagnosis and prognosis

Oncotarget ◽  
2017 ◽  
Vol 8 (42) ◽  
pp. 73282-73295 ◽  
Author(s):  
Yuqing He ◽  
Yanhong Luo ◽  
Biyu Liang ◽  
Lei Ye ◽  
Guangxing Lu ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Diagnosis And Prognosis ◽  
Potential Applications ◽  
Cancer Diagnosis And Prognosis

scholarly journals Agreement between patients’ and radiation oncologists’ cancer diagnosis and prognosis perceptions: A cross sectional study in Japan

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0198437 ◽  
Author(s):  
Lisa Jane Mackenzie ◽  
Mariko Leanne Carey ◽  
Eiji Suzuki ◽  
Robert William Sanson-Fisher ◽  
Hiromi Asada ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diagnosis And Prognosis ◽  
Radiation Oncologists ◽  
Cancer Diagnosis And Prognosis
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