scholarly journals Modeling population‐wide testing of SARS‐CoV‐2 for containing COVID‐19 pandemic in Okinawa, Japan

2021 ◽  
Author(s):  
Kazuki Shimizu ◽  
Toshikazu Kuniya ◽  
Yasuharu Tokuda
Keyword(s):  
Wide Testing

HER2 testing in advanced gastric and gastro-oesophageal cancer: analysis of an Australia-wide testing program

Pathology ◽  
2017 ◽  
Vol 49 (6) ◽  
pp. 575-581 ◽  
Author(s):  
M. Priyanthi Kumarasinghe ◽  
Adrienne Morey ◽  
Michael Bilous ◽  
Gelareh Farshid ◽  
Glenn Francis ◽  
...  
Keyword(s):  
Oesophageal Cancer ◽  
Testing Program ◽  
Her2 Testing ◽  
Wide Testing

scholarly journals Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS

2010 ◽  
Vol 26 (5) ◽  
pp. 694-695 ◽  
Author(s):  
Casey S. Greene ◽  
Nicholas A. Sinnott-Armstrong ◽  
Daniel S. Himmelstein ◽  
Paul J. Park ◽  
Jason H. Moore ◽  
...  
Keyword(s):  
Dimensionality Reduction ◽  
Multifactor Dimensionality Reduction ◽  
Graphics Processing Units ◽  
Genome Wide ◽  
Sporadic Als ◽  
Graphics Processing ◽  
Wide Testing

scholarly journals A Qualitative Study of Healthcare Providers’ Perspectives on the Implications of Genome-Wide Testing in Pediatric Clinical Practice

2013 ◽  
Vol 23 (4) ◽  
pp. 474-488 ◽  
Author(s):  
Marian Reiff ◽  
Rebecca Mueller ◽  
Surabhi Mulchandani ◽  
Nancy B. Spinner ◽  
Reed E. Pyeritz ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Qualitative Study ◽  
Healthcare Providers ◽  
Genome Wide ◽  
Wide Testing

State-wide testing programs

1943 ◽  
Vol 27 (4) ◽  
pp. 135-136 ◽  
Author(s):  
Shailer Peterson
Keyword(s):  
Wide Testing

scholarly journals Current Capabilities, Precision, and Risks of Genome Editing Techniques in Agricultural Systems

2020 ◽  
Author(s):  
Morgan Carter
Keyword(s):  
Best Practices ◽  
Genome Editing ◽  
Target Selection ◽  
Agricultural Systems ◽  
Molecular Tools ◽  
A Genome ◽  
Pros And Cons ◽  
Regulatory Measures ◽  
Wide Testing ◽  
Careful Design

We are in a new chapter of crop and livestock improvement with the emergence of genome editing. This latest generation of molecular tools can be used to make targeted changes in a genome including insertions, deletions, and mutations. With new advances comes new risks for unintended changes and impacts, thus the need for appropriate risk assessment for product development and to inform regulatory measures. Though CRISPR/Cas has arisen as the predominant technology, there are multiple types of genome editing tools each with pros and cons depending on the organism and desired outcome. Furthermore, each editing tool differs in specificity as they may edit non-intended sites, referred to as off-target edits. The consensus of the agricultural editing community is to avoid off-target editing through design and detection, instead of determining whether off-target editing in each case is detrimental. The design of a targeting component, the tool chosen, and the identification of the edit(s) made are the critical factors in avoiding off-target edits and confirming intended edits in final products that are released commercially. The limited amount of head-to-head comparisons of genome editing tools in diverse crops and livestock make it difficult to develop broad conclusions and best practices, which is further compounded by the diversity of techniques, targets, and processes. Developers and breeders should consult the literature and test as needed to determine which editing technology will be the most effective for their purposes, especially as more tools with altered efficiency and specificity become available. Yet, the lack of off-target edits in studies that employed careful design of targeting components followed by wide testing for on- and off-target edits bodes well for the use of genome editing with proper precautions of target selection and screening.

scholarly journals COVID-19 Trend and Forecast in India: A Joinpoint Regression Analysis

2020 ◽  
Author(s):  
Aalok Ranjan Chaurasia
Keyword(s):  
Regression Analysis ◽  
Empirical Evidence ◽  
Current Trend ◽  
Joinpoint Regression ◽  
The Third ◽  
Joinpoint Regression Analysis ◽  
Testing Approach ◽  
Wide Testing

AbstractThis paper analyses the trend in daily reported confirmed cases of COVID-19 in India using joinpoint regression analysis. The analysis reveals that there has been little impact of the nation-wide lockdown and subsequent extension on the progress of the COVID-19 pandemic in the country and there is no empirical evidence to suggest that relaxations under the third and the fourth phase of the lockdown have resulted in a spike in the reported confirmed cases. The analysis also suggests that if the current trend continues, in the immediate future, then the daily reported confirmed cases of COVID-19 in the country is likely to increase to 21 thousand by 15 June 2020 whereas the total number of confirmed cases of COVID-19 will increase to around 422 thousand. The analysis calls for a population-wide testing approach to check the increase in the reported confirmed cases of COVID-19.

Sign in / Sign up

Export Citation Format

Share Document