scholarly journals The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology

2021 ◽  
Vol 10 ◽  
Author(s):  
Lin Shui ◽  
Haoyu Ren ◽  
Xi Yang ◽  
Jian Li ◽  
Ziwei Chen ◽  
...  
Keyword(s):  
New Technologies ◽  
State Of The Art ◽  
Individualized Medicine ◽  
Rapid Development ◽  
Cost Effective ◽  
Therapeutic Strategies ◽  
Cost Effective Approach ◽  
Routine Clinical Setting ◽  
Statistical Algorithms ◽  
Aided Diagnosis

With the rapid development of new technologies, including artificial intelligence and genome sequencing, radiogenomics has emerged as a state-of-the-art science in the field of individualized medicine. Radiogenomics combines a large volume of quantitative data extracted from medical images with individual genomic phenotypes and constructs a prediction model through deep learning to stratify patients, guide therapeutic strategies, and evaluate clinical outcomes. Recent studies of various types of tumors demonstrate the predictive value of radiogenomics. And some of the issues in the radiogenomic analysis and the solutions from prior works are presented. Although the workflow criteria and international agreed guidelines for statistical methods need to be confirmed, radiogenomics represents a repeatable and cost-effective approach for the detection of continuous changes and is a promising surrogate for invasive interventions. Therefore, radiogenomics could facilitate computer-aided diagnosis, treatment, and prediction of the prognosis in patients with tumors in the routine clinical setting. Here, we summarize the integrated process of radiogenomics and introduce the crucial strategies and statistical algorithms involved in current studies.

A Strategy Towards Cost-Effective Content Delivery in the Higher Learning Institutions of Tanzania

2021 ◽  
pp. 271-287
Author(s):  
Michael Pendo John Mahenge ◽  
Andrew Charles Msungu
Keyword(s):  
Developing Countries ◽  
Learning Environments ◽  
New Technologies ◽  
Cost Effective ◽  
Content Delivery ◽  
Higher Learning ◽  
Cost Effective Approach ◽  
Challenges And Opportunities ◽  
Survey Results ◽  
Learning Institutions

The recent development of ubiquitous technologies such as mobile computing facilities in developing countries promises a cost-effective approach for learning in higher learning institutions (HLIs). For instance, in Tanzania, new technologies in HLIs are being blended through eLearning and m-learning. However, HLIs are facing challenges in the delivery of eLearning contents due to the distributed nature of learning environments, the advancement of a large amount of data, shortage in ICT resources, and bandwidth. This study presents the state-of-the-art challenges and opportunities on eLearning in Tanzania. The survey results show that above 75% of students own multiple mobile devices that can support access to M-learning. Then, a cost-effective strategy for content delivery supported by mobile edge computing and cloud computing is proposed. Moreover, it is recommended that HLIs in developing countries should enact ICT policy that integrates issues associated with how to effectively utilize the emerging ubiquitous technologies applicable in their learning environments.

scholarly journals On-Chip Bondwire Magnetics with Ferrite-Epoxy Glob Coating for Power Systems on Chip

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Jian Lu ◽  
Hongwei Jia ◽  
Andres Arias ◽  
Xun Gong ◽  
Z. John Shen
Keyword(s):  
Power Systems ◽  
High Efficiency ◽  
State Of The Art ◽  
Cost Effective ◽  
Magnetic Components ◽  
Systems On Chip ◽  
Cost Effective Approach ◽  
Coupling Factors ◽  
On Chip ◽  
Novel Concept

A novel concept of on-chip bondwire inductors and transformers with ferrite epoxy glob coating is proposed to offer a cost effective approach realizing power systems on chip (SOC). We have investigated the concept both experimentally and with finite element modeling. A Q factor of 30–40 is experimentally demonstrated for the bondwire inductors which represents an improvement by a factor of 3–30 over the state-of-the-art MEMS micromachined inductors. Transformer parameters including self- and mutual inductance and coupling factors are extracted from both modeled and measured S-parameters. More importantly, the bondwire magnetic components can be easily integrated into SOC manufacturing processes with minimal changes and open enormous possibilities for realizing cost-effective, high-current, high-efficiency power SOCs.

E-Insurance :A Platform For Insurance Penetration In India

2019 ◽  
Vol 118 (6) ◽  
pp. 90-93
Author(s):  
L. Terina Grazy ◽  
Dr.G. Parimalarani
Keyword(s):  
Insurance Industry ◽  
Cost Effective ◽  
Online Marketing ◽  
Insurance Companies ◽  
The Internet ◽  
Insurance Sector ◽  
The People ◽  
Cost Effective Approach ◽  
Time And Energy ◽  
Work Done

E-commerce is a part of Internet Marketing. The arrival of Internet made the world very simple and dynamic in all the areas. Internet is the growing business as a result most of the people are using it in their day to day life. E-commerce is attractive and efficient way for both buyers and sellesr as it reduce cost, time and energy for the buyer. No surprise the insurance sector has become quite active within the internet sphere. Most insurance companies are offering policies to be brought online and also the portals for paying premiums. It actually saves from hassles involved in going to an insurance office and spend hours to get the insurance work done. Insurance has become an important and crucial aspect of life. Online insurance is the best and most cost effective approach of taking the insurance deal. This paper focused on influence of online marketing on the insurance industry in India, usage of internet in India , the internet penetration in India and the online sale of insurance product by the insurance sector.

The Synergy between CRISPR and Chemical Engineering

2019 ◽  
Vol 19 (3) ◽  
pp. 147-171
Author(s):  
Cia-Hin Lau ◽  
Chung Tin
Keyword(s):  
Viral Vectors ◽  
Chemical Engineering ◽  
Target Genes ◽  
New Technologies ◽  
Rapid Development ◽  
Genetic Circuits ◽  
Viral Packaging ◽  
Conditional Control ◽  
Logic Operations

Gene therapy and transgenic research have advanced quickly in recent years due to the development of CRISPR technology. The rapid development of CRISPR technology has been largely benefited by chemical engineering. Firstly, chemical or synthetic substance enables spatiotemporal and conditional control of Cas9 or dCas9 activities. It prevents the leaky expression of CRISPR components, as well as minimizes toxicity and off-target effects. Multi-input logic operations and complex genetic circuits can also be implemented via multiplexed and orthogonal regulation of target genes. Secondly, rational chemical modifications to the sgRNA enhance gene editing efficiency and specificity by improving sgRNA stability and binding affinity to on-target genomic loci, and hence reducing off-target mismatches and systemic immunogenicity. Chemically-modified Cas9 mRNA is also more active and less immunogenic than the native mRNA. Thirdly, nonviral vehicles can circumvent the challenges associated with viral packaging and production through the delivery of Cas9-sgRNA ribonucleoprotein complex or large Cas9 expression plasmids. Multi-functional nanovectors enhance genome editing in vivo by overcoming multiple physiological barriers, enabling ligand-targeted cellular uptake, and blood-brain barrier crossing. Chemical engineering can also facilitate viral-based delivery by improving vector internalization, allowing tissue-specific transgene expression, and preventing inactivation of the viral vectors in vivo. This review aims to discuss how chemical engineering has helped improve existing CRISPR applications and enable new technologies for biomedical research. The usefulness, advantages, and molecular action for each chemical engineering approach are also highlighted.

Conclusion

2018 ◽  
Author(s):  
Yana van der Meulen Rodgers
Keyword(s):  
Family Planning ◽  
Reproductive Health ◽  
Health Services ◽  
Health Outcomes ◽  
Cost Effective ◽  
Reproductive Health Services ◽  
Cost Effective Approach ◽  
Restrictive Legislation

Chapter 7 concludes by highlighting the three biggest messages from the analysis presented in this book: (1) the global gag rule has failed to achieve its goal of reducing abortions; (2) restrictive legislation is associated with more unsafe abortions; and (3) the expanded global gag rule is likely to have negative repercussions across a range of health outcomes for women, children, and men. They are simple but powerful messages that should be heard by policymakers over the voices calling for an ideologically based policy that fails to achieve its desired outcome. The chapter closes with a more constructive and cost-effective approach for US family-planning assistance that targets integrated reproductive health services.

scholarly journals COVID-19 infection map generation and detection from chest X-ray images

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Aysen Degerli ◽  
Mete Ahishali ◽  
Mehmet Yamac ◽  
Serkan Kiranyaz ◽  
Muhammad E. H. Chowdhury ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ground Truth ◽  
Clinical Use ◽  
X Ray ◽  
Learning Techniques ◽  
Map Generation ◽  
Severity Grading ◽  
Chest X Ray ◽  
Novel Method ◽  
Aided Diagnosis

AbstractComputer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques for COVID-19 diagnosis. However, they have used very limited chest X-ray (CXR) image repositories for evaluation with a small number, a few hundreds, of COVID-19 samples. Moreover, these methods can neither localize nor grade the severity of COVID-19 infection. For this purpose, recent studies proposed to explore the activation maps of deep networks. However, they remain inaccurate for localizing the actual infestation making them unreliable for clinical use. This study proposes a novel method for the joint localization, severity grading, and detection of COVID-19 from CXR images by generating the so-called infection maps. To accomplish this, we have compiled the largest dataset with 119,316 CXR images including 2951 COVID-19 samples, where the annotation of the ground-truth segmentation masks is performed on CXRs by a novel collaborative human–machine approach. Furthermore, we publicly release the first CXR dataset with the ground-truth segmentation masks of the COVID-19 infected regions. A detailed set of experiments show that state-of-the-art segmentation networks can learn to localize COVID-19 infection with an F1-score of 83.20%, which is significantly superior to the activation maps created by the previous methods. Finally, the proposed approach achieved a COVID-19 detection performance with 94.96% sensitivity and 99.88% specificity.

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