scholarly journals Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2586
Author(s):  
Sarah M. Ayyad ◽  
Mohamed Shehata ◽  
Ahmed Shalaby ◽  
Mohamed Abou El-Ghar ◽  
Mohammed Ghazal ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Artificial Intelligence ◽  
The Body ◽  
Histopathological Image ◽  
Recent Developments ◽  
Histopathological Images ◽  
Conventional Machine ◽  
Histopathology Images ◽  
High Level

Prostate cancer is one of the most identified cancers and second most prevalent among cancer-related deaths of men worldwide. Early diagnosis and treatment are substantial to stop or handle the increase and spread of cancer cells in the body. Histopathological image diagnosis is a gold standard for detecting prostate cancer as it has different visual characteristics but interpreting those type of images needs a high level of expertise and takes too much time. One of the ways to accelerate such an analysis is by employing artificial intelligence (AI) through the use of computer-aided diagnosis (CAD) systems. The recent developments in artificial intelligence along with its sub-fields of conventional machine learning and deep learning provide new insights to clinicians and researchers, and an abundance of research is presented specifically for histopathology images tailored for prostate cancer. However, there is a lack of comprehensive surveys that focus on prostate cancer using histopathology images. In this paper, we provide a very comprehensive review of most, if not all, studies that handled the prostate cancer diagnosis using histopathological images. The survey begins with an overview of histopathological image preparation and its challenges. We also briefly review the computing techniques that are commonly applied in image processing, segmentation, feature selection, and classification that can help in detecting prostate malignancies in histopathological images.

Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study

2021 ◽  
pp. 1-29
Author(s):  
Mohd Javaid ◽  
Abid Haleem ◽  
Ravi Pratap Singh ◽  
Rajiv Suman
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Decisive Role ◽  
Vital Role ◽  
Data Types ◽  
Process Data ◽  
Automation Systems ◽  
Recent Developments ◽  
Iot Devices

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.

High-risk, recurrent and oligometastatic prostate cancer: recent developments on the role of radiation

2021 ◽  
Vol 33 (3) ◽  
pp. 238-243
Author(s):  
Jason K. Molitoris ◽  
Gregory S. Alexander ◽  
Osman Siddiqui ◽  
Justin Cohen ◽  
Mark V. Mishra ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Oligometastatic Prostate Cancer ◽  
Recent Developments

scholarly journals Progress in material design for biomedical applications

2015 ◽  
Vol 112 (47) ◽  
pp. 14444-14451 ◽  
Author(s):  
Mark W. Tibbitt ◽  
Christopher B. Rodell ◽  
Jason A. Burdick ◽  
Kristi S. Anseth
Keyword(s):  
Biomedical Applications ◽  
Material Design ◽  
The Body ◽  
Biological Complexity ◽  
Recent Developments ◽  
Primary Focus ◽  
Controlled Structure ◽  
High Level ◽  
Soft Biomaterials ◽  
Organ Replacement

Biomaterials that interface with biological systems are used to deliver drugs safely and efficiently; to prevent, detect, and treat disease; to assist the body as it heals; and to engineer functional tissues outside of the body for organ replacement. The field has evolved beyond selecting materials that were originally designed for other applications with a primary focus on properties that enabled restoration of function and mitigation of acute pathology. Biomaterials are now designed rationally with controlled structure and dynamic functionality to integrate with biological complexity and perform tailored, high-level functions in the body. The transition has been from permissive to promoting biomaterials that are no longer bioinert but bioactive. This perspective surveys recent developments in the field of polymeric and soft biomaterials with a specific emphasis on advances in nano- to macroscale control, static to dynamic functionality, and biocomplex materials.

scholarly journals The role of radical prostatectomy for the treatment of metastatic prostate cancer: a systematic review and meta-analysis

2018 ◽  
Vol 38 (1) ◽  
Author(s):  
Yi Wang ◽  
Zhiqiang Qin ◽  
Yamin Wang ◽  
Chen Chen ◽  
Yichun Wang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Gleason Score ◽  
Metastatic Prostate Cancer ◽  
Meta Analysis ◽  
Local Therapy ◽  
Quality Data ◽  
N Stage ◽  
High Level

The recommended therapy by EAU guidelines for metastatic prostate cancer (mPCa) is androgen deprivation therapy (ADT) with or without chemotherapy. The role of radical prostatectomy (RP) in the treatment of mPCa is still controversial. Hence, a meta-analysis was conducted by comprehensively searching the databases PubMed, EMBASE and Web of Science for the relevant studies published before September 1st, 2017. Our results successfully shed light on the relationship that RP for mPCa was associated with decreased cancer-specific mortality (CSM) (pooled HR = 0.41, 95%CI = 0.36–0.47) and enhanced overall survival (OS) (pooled HR = 0.49, 95%CI = 0.44–0.55). Subsequent stratified analysis demonstrated that no matter how RP compared with no local therapy (NLT) or radiation therapy (RT), it was linked to a lower CSM (pooled HR = 0.36, 95%CI = 0.30–0.43 and pooled HR = 0.56, 95%CI 0.43–0.73, respectively) and a higher OS (pooled HR = 0.49, 95%CI = 0.44–0.56 and pooled HR = 0.46, 95%CI 0.33–0.65, separately). When comparing different levels of Gleason score, M-stage or N-stage, our results indicated that high level of Gleason score, M-stage or N-stage was associated with increased CSM. In summary, the outcomes of the present meta-analysis demonstrated that RP for mPCa was correlated with decreased CSM and enhanced OS in eligible patients of involved studies. In addition, patients with less aggressive tumors and good general health seemed to benefit the most. Moreover, no matter compared with NLT or RT, RP showed significant superiority in OS or CSM. Upcoming prospective randomized controlled trials were warranted to provide more high-quality data.

scholarly journals Persepsi dan Tahap Pengetahuan Peserta Dan Agen Takaful Terhadap Pelaksanaan Zakat Takaful: Kajian Di Shah Alam, Selangor (Perceptions and Knowledge Levels of Takaful Participants and Agencies towards Implementation of Takaful Zakat: A Study In Shah Alam, Selangor)

2019 ◽  
Vol 6 (2-2) ◽  
Author(s):  
Nur Amirah Jaafar ◽  
Hairunnizam Wahid ◽  
Mohd Ali Mohd Noor
Keyword(s):  
Sampling Method ◽  
The Body ◽  
Permanent Disability ◽  
Level Of Knowledge ◽  
The Mean ◽  
The Right ◽  
High Level ◽  
Push Factor ◽  
Knowledge And Acceptance

When it comes to zakat obligations, people only know certain types of zakat that are obligated to be issued. There are two types of zakat; zakat fitrah and zakat property. However, zakat’s division may vary according to the state's fatwa. In Selangor, Lembaga Zakat Selangor (LZS) is the body that governs the administration and implementation of Zakat. The breakdown of zakat property is Zakat on Income, Zakat on Business, Zakat on Savings, Zakat on Gold and Silver, Zakat on Investments and Shares, Zakat on KWSP, Zakat on Paddy, Zakat on Agriculture, Zakat on Wealth and Treasure, and the Zakat on Takaful. However, this study will only focus on Zakat Takaful. Under Zakat Takaful, there are several divisions which are Zakat Wang Takaful/Takaful Investment, Zakat on Maturity Policy, Takaful Compensation, Tabarruq Fund, Benefit of Total and Permanent Disability, and Compensation of Conventional Insurance Policy. Each of these sections has its calculation method which will be explained further. This study was conducted to identify the level of knowledge and acceptance of Takaful Muslim consumers on the implementation of Zakat Takaful that has been introduced by LZS. Besides, this study will also look at the knowledge of Takaful agents and their willingness to disseminate information of Zakat Takaful to their customers. This study was conducted by using the sampling method and descriptive data analysis. The study found that on average, respondents' knowledge on Zakat Takaful is low with a mean of 2.32. However, the mean for acceptance is 3.93 which is set at a high level thus showed a good acceptance of the survey respondents. Through this study, it can be concluded that knowledge and acceptance are both very important in achieving the objective of implementing Zakat Takaful. Knowledge by Takaful participants who are also assisted by agents who play the role of conveying knowledge of Zakat Takaful is directly perceived to have a more effective effect in addition to the behavior/attitude that forms the intention of Takaful participnts to accept the implementation and to pay Zakah Takaful. This study is also expected to be the push factor among the zakat agents to play a role in disseminating the right information about Zakat Takaful to their customers, which also can be regarded as one of the da'wah forms.

scholarly journals Current Developments on the Role of α1-Adrenergic Receptors in Cognition, Cardioprotection, and Metabolism

2021 ◽  
Vol 9 ◽  
Author(s):  
Dianne M. Perez
Keyword(s):  
Adrenergic Receptors ◽  
Smooth Muscle Contraction ◽  
The Body ◽  
Whole Body ◽  
Selective Ligands ◽  
Recent Developments ◽  
Vascular Smooth Muscle Contraction ◽  
G Protein Coupled ◽  
Similar Affinity

The α1-adrenergic receptors (ARs) are G-protein coupled receptors that bind the endogenous catecholamines, norepinephrine, and epinephrine. They play a key role in the regulation of the sympathetic nervous system along with β and α2-AR family members. While all of the adrenergic receptors bind with similar affinity to the catecholamines, they can regulate different physiologies and pathophysiologies in the body because they couple to different G-proteins and signal transduction pathways, commonly in opposition to one another. While α1-AR subtypes (α1A, α1B, α1C) have long been known to be primary regulators of vascular smooth muscle contraction, blood pressure, and cardiac hypertrophy, their role in neurotransmission, improving cognition, protecting the heart during ischemia and failure, and regulating whole body and organ metabolism are not well known and are more recent developments. These advancements have been made possible through the development of transgenic and knockout mouse models and more selective ligands to advance their research. Here, we will review the recent literature to provide new insights into these physiological functions and possible use as a therapeutic target.

scholarly journals STUDY ON BELIEFS ABOUT LANGUAGE LEARNING, ROLE OF GENDER AND STUDENTS’ ACHIEVEMENT IN RELATION TO SECOND LANGUAGE ANXIETY

2019 ◽  
Vol 15 (3) ◽  
pp. 1-9
Author(s):  
Tracy William Tandang ◽  
Marina Mohd Arif
Keyword(s):  
Second Language ◽  
Language Learning ◽  
The Body ◽  
Public Institution ◽  
Language Anxiety ◽  
Language Achievement ◽  
Significant Difference ◽  
Beliefs About Language Learning ◽  
High Level

The study has given a myriad of insights and deeper understanding on the issue of second language anxiety, especially in Malaysia. This study encompassed several aspects in second language learning. The study focused on the relationship between second language anxiety and beliefs about language learning. Besides that, the role of gender in second language anxiety has also been one of the main focuses in the study. On top of that, this study also emphasised on the effect of second language anxiety on the second language achievement. To achieve the purpose, a study was conducted quantitatively among 334 respondents from a local public institution, which is a polytechnic in Negeri Sembilan. The respondents of the study were from Commerce Department which is the largest department in the institution. The respondents were the students from the third semester in the second year. This study used the modified version of Foreign Language Classroom Anxiety Scale (FLCAS) and Beliefs About Language Learning Inventory (BALLI). From the study, it is found that the second language anxiety of the students is moderately related to their beliefs about language learning. Besides, the second language achievement is negatively correlated with the second language anxiety, thus explains the low performance while experiencing high level of anxiety. This study also reveals that there is no significant difference found between male and female students in second language anxiety. It is anticipated for researchers to continue and expand the field of study in order to continue contributing to the body of knowledge on second language anxiety.

STUDYING THE ROLE OF MACROPHAGES IN CIRCULATING PROSTATE CANCER CELLS BY IN VIVO FLOW CYTOMETRY

2012 ◽  
Vol 05 (04) ◽  
pp. 1250027 ◽  
Author(s):  
JIN GUO ◽  
ZHICHAO FAN ◽  
ZHENGQIN GU ◽  
XUNBIN WEI
Keyword(s):  
Prostate Cancer ◽  
Flow Cytometry ◽  
Cancer Cells ◽  
The Body ◽  
Prostate Cancer Cells ◽  
In Vivo Flow Cytometry ◽  
Kinetics Of ◽  
Deficient Group

Metastasis is a very complicated multi-step process and accounts for the low survival rate of the cancerous patients. To metastasize, the malignant cells must detach from the primary tumor and migrate to secondary sites in the body through either blood or lymph circulation. Macrophages appear to be directly involved in tumor progression and metastasis. However, the role of macrophages in affecting cancer metastasis has not been fully elucidated. Here, we have utilized an emerging technique, namely in vivo flow cytometry (IVFC) to study the depletion kinetics of circulating prostate cancer cells in mice and determine how depletion of macrophages by the liposome-encapsulated clodronate affects the depletion kinetics. Our results show different depletion kinetics of PC-3 cells between the macrophage-deficient group and the control group. The number of circulating tumor cells (CTCs) in the macrophage-deficient group decreases in a slower manner compared to the control mice group. The differences in depletion kinetics indicate that the absence of macrophages facilitates the stay of prostate cancer cells in circulation. In addition, our imaging data suggest that macrophages might be able to arrest, phagocytose and digest PC-3 cells. Therefore, phagocytosis may mainly contribute to the depletion kinetic differences. The developed methods elaborated here would be useful to study the relationship between macrophages and tumor metastasis in small animal cancer models.

scholarly journals First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 356 ◽  
Author(s):  
Gabriel García ◽  
Adrián Colomer ◽  
Valery Naranjo
Keyword(s):  
Prostate Cancer ◽  
Contextual Information ◽  
Support Vector ◽  
Learning Approach ◽  
Gleason Grade ◽  
Gleason Grading ◽  
Histopathological Image ◽  
Histopathological Images ◽  
Grade 3 ◽  
First Time

Analysis of histopathological image supposes the most reliable procedure to identify prostate cancer. Most studies try to develop computer aid-systems to face the Gleason grading problem. On the contrary, we delve into the discrimination between healthy and cancerous tissues in its earliest stage, only focusing on the information contained in the automatically segmented gland candidates. We propose a hand-driven learning approach, in which we perform an exhaustive hand-crafted feature extraction stage combining in a novel way descriptors of morphology, texture, fractals and contextual information of the candidates under study. Then, we carry out an in-depth statistical analysis to select the most relevant features that constitute the inputs to the optimised machine-learning classifiers. Additionally, we apply for the first time on prostate segmented glands, deep-learning algorithms modifying the popular VGG19 neural network. We fine-tuned the last convolutional block of the architecture to provide the model specific knowledge about the gland images. The hand-driven learning approach, using a nonlinear Support Vector Machine, reports a slight outperforming over the rest of experiments with a final multi-class accuracy of 0.876 ± 0.026 in the discrimination between false glands (artefacts), benign glands and Gleason grade 3 glands.

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