Brief Synopsis: “Instruction Manual for Juvenile Clinical Pathology”

2021 ◽  
pp. 019262332110413
Author(s):  
Anne Provencher ◽  
Paula Katavolos
Keyword(s):  
Data Analysis ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Physiological Functions ◽  
Instruction Manual ◽  
Test Article ◽  
Accurate Interpretation ◽  
Key Points ◽  
Pathology Data

This symposium synopsis summarizes key points discussed related to clinical pathology data interpretation for reproduction and juvenile toxicology studies. In pregnant and growing animals, several changes in clinical pathology parameters linked to growth/maturation of organ and physiological functions can occur, and understanding these changes is important to enable accurate interpretation of clinical pathology data. A brief overview of the general approach to clinical pathology data analysis according to contemporary practices is provided, followed by a discussion focused specifically on reproductive and juvenile clinical pathology. In this context, the approach to recognize and differentiate changes that may be related to pregnancy and growth as opposed to those that may be related to test article effects is highlighted.

scholarly journals STP Best Practices for Evaluating Clinical Pathology in Pharmaceutical Recovery Studies

2016 ◽  
Vol 44 (2) ◽  
pp. 163-172 ◽  
Author(s):  
Lindsay Tomlinson ◽  
Lila Ramaiah ◽  
Niraj K. Tripathi ◽  
Valerie G. Barlow ◽  
Allison Vitsky ◽  
...  
Keyword(s):  
Best Practices ◽  
Vaccine Development ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Recovery Phase ◽  
Development Programs ◽  
Toxicity Studies ◽  
Delayed Toxicity ◽  
American Society ◽  
Pathology Data

The Society of Toxicologic Pathology formed a working group in collaboration with the American Society for Veterinary Clinical Pathology to provide recommendations for the appropriate inclusion of clinical pathology evaluation in recovery arms of nonclinical toxicity studies but not on when to perform recovery studies. Evaluation of the recovery of clinical pathology findings is not required routinely but provides useful information on risk assessment in nonclinical toxicity studies and is recommended when the ability of the organ to recover is uncertain. The study design generally requires inclusion of concurrent controls to separate procedure-related changes from test article–related changes, but return of clinical pathology values toward baseline may be sufficient in some cases. Evaluation of either a select or full panel of standard hematology, coagulation, and serum and urine chemistry biomarkers can be scientifically justified. It is also acceptable to redesignate dosing phase animals to the recovery phase or vice versa to optimize data interpretation. Assessment of delayed toxicity during the recovery phase is not required but may be appropriate in development programs with unique concerns. Evaluation of the recovery of clinical pathology data for vaccine development is required and, for efficacy markers, is recommended if it furthers pharmacologic understanding.

scholarly journals Practical Considerations in Clinical Pathology Data Interpretation and Description

2016 ◽  
Vol 45 (2) ◽  
pp. 362-365 ◽  
Author(s):  
Robert L. Hall
Keyword(s):  
Safety Assessment ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Potential Effect ◽  
Reference Intervals ◽  
Standard Approach ◽  
Test Results ◽  
Assessment Study ◽  
Preclinical Safety ◽  
Pathology Data

Although interpretation and description of clinical pathology test results for any preclinical safety assessment study should employ a consistent standard approach, companies differ regarding that approach and the appearance of the end product. Some rely heavily on statistical analysis, others do not. Some believe reference intervals are important, most do not. Some prefer severity of effects be described by percentage differences from, or multiples of, baseline or control, others prefer only word modifiers. Some expect a definitive decision for every potential effect, others accept uncertainty. This commentary addresses these differences and underscores the need for flexibility in a “consistent standard approach” because the conditions of every study are unique. This article constitutes an overview of material originally presented at Session 2 of the 2016 Society of Toxicologic Pathology Annual Symposium.

scholarly journals Comparative Pathologists: Ultimate Control Freaks Seeking Validation!

2018 ◽  
Vol 56 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Krista M. D. La Perle
Keyword(s):  
Experimental Design ◽  
Model Development ◽  
Clinical Pathology ◽  
Scoring Systems ◽  
Data Interpretation ◽  
Tissue Sampling ◽  
Sample Collection ◽  
Slide Preparation ◽  
Histopathologic Evaluation ◽  
Pathology Data

Definable, reproducible, and meaningful are elemental features of grading/scoring systems, while thoroughness, accuracy, and consistency are quality indicators of pathology reports. The expertise of pathologists is significantly underutilized when it is limited to rendering diagnoses. The opportunity to provide guidance on animal model development, experimental design, optimal sample collection, and data interpretation not only contributes to job satisfaction but also, more importantly, promotes validation of the pathology data. Keys to validation include standard operating procedures, experimental controls, and standardized nomenclature applied throughout the experimental design and execution, tissue sampling, and slide preparation, as well as the creation or adaptation and application of semiquantitative grading/scoring systems. Diagnostic drift, thresholds, mental noise, and various diurnal fluctuations strongly influence the repeatability of grading/scoring systems used by the same or different pathologists. Quantitative image analyses are not plagued by the visual and cognitive traps that affect manual semiquantitative grading schemes but may still be affected by technical variables associated with necropsy, tissue sampling, and slide preparation. The validity of a grading scheme is ultimately assessed by its repeatability and biologic relevance, so it is important to correlate scores with comprehensive pathobiology data such as results of antemortem imaging, clinical pathology data, body and organ weights, and histopathologic evaluation of full tissue sets.

scholarly journals Deciphering Sources of Variability in Clinical Pathology

2016 ◽  
Vol 45 (1) ◽  
pp. 90-93 ◽  
Author(s):  
Niraj K. Tripathi ◽  
Nancy E. Everds ◽  
A. Eric Schultze ◽  
Armando R. Irizarry ◽  
Robert L. Hall ◽  
...  
Keyword(s):  
Study Design ◽  
Toxicity Testing ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Potential Effect ◽  
Reference Intervals ◽  
Sample Collection ◽  
Related Factors ◽  
Specimen Handling ◽  
Pathology Data

The objectives of this session were to explore causes of variability in clinical pathology data due to preanalytical and analytical variables as well as study design and other procedures that occur in toxicity testing studies. The presenters highlighted challenges associated with such variability in differentiating test article–related effects from the effects of experimental procedures and its impact on overall data interpretation. These presentations focused on preanalytical and analytical variables and study design–related factors and their influence on clinical pathology data, and the importance of various factors that influence data interpretation including statistical analysis and reference intervals. Overall, these presentations touched upon potential effect of many variables on clinical pathology parameters, including animal physiology, sample collection process, specimen handling and analysis, study design, and some discussion points on how to manage those variables to ensure accurate interpretation of clinical pathology data in toxicity studies. This article is a brief synopsis of presentations given in a session entitled “Deciphering Sources of Variability in Clinical Pathology—It’s Not Just about the Numbers” that occurred at the 35th Annual Symposium of the Society of Toxicologic Pathology in San Diego, California.

Auto-Metrology on TEM Images of FinFET

2014 ◽  
Author(s):  
Sajal Biring
Keyword(s):  
Data Analysis ◽  
Data Interpretation ◽  
Visual Judgment ◽  
Manual Measurement ◽  
Size And Shape ◽  
Highly Sensitive ◽  
Edge Detecting ◽  
Geometrical Data ◽  
Precision And Accuracy ◽  
Device Size

Abstract The FinFET has been introduced in the last decade to provide better transistor performance as the device size shrinks. The performance of FinFET is highly sensitive to the size and shape of the fin, which needs to be optimized with tighter control. Manual measurement of nano-scale features on TEM images of FinFET is not only a time consuming and tedious task, but also prone to error owing to visual judgment. Here, an auto-metrology approach is presented to extract the measured values with higher precision and accuracy so that the uncertainty in the manual measurement can be minimized. Firstly, a FinFET TEM image is processed through an edge detecting algorithm to reveal the fin profile precisely. Finally, an algorithm is utilized to calculate out the required geometrical data relevant to the FinFET parameters and summarizes them to a table or plots a graph based on the purpose of data interpretation. This auto-metrology approach is expected to be adopted by academia and/or industry for proper data analysis and interpretation with higher precision and efficiency.

scholarly journals Kohesi dan Koherensi dalam Koran Bisnis Indonesia dengan Judul Kemenperin Jamin Serap Garam Rakyat

2018 ◽  
Vol 1 (1) ◽  
pp. 138-153
Author(s):  
Goziyah Goziyah ◽  
Harninda Rizka Insani
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Data Reduction ◽  
Research Method ◽  
Data Interpretation ◽  
Qualitative Approach ◽  
Analysis Techniques ◽  
Relationship Of ◽  
The Relationship

The objective of this research was to provide an understanding of cohesion and coherence in the newspaper Bisnis Indonesia with title Kemenperin Jamin Serap Garam Rakyat. The research method used is the method of content analysis with a qualitative approach. Data collection techniques using documentation techniques. Data analysis techniques begin with data reduction, data tabulation, data classification, data interpretation, and conclusions. The results show that in the news text in the newspaper Bisnis Indonesia there is a more dominant cohesion found pronouns, ellipsis, and conjunctions or hyphens. Then, the coherence that is found is the relationship of contradictions, general specific relationships, comparison relationships, causal relationships, review relationships, and referral relationships. Keywords: cohesion, coherence, newspapers

scholarly journals PENGGUNAAN ISTILAH ASING PADA SURAT KABAR CETAK DI PROVINSI BANTEN

2020 ◽  
Vol 6 (2) ◽  
pp. 151
Author(s):  
Anitawati Bachtiar
Keyword(s):  
Data Analysis ◽  
Mass Media ◽  
Standard Form ◽  
Equivalent Form ◽  
Data Interpretation ◽  
Ministry Of Education ◽  
National Agency ◽  
School Based ◽  
The Press

According to Law No. 40 of 1999 concerning mass media, press has the function to educate. Moreover, according to Alwi (2011: viii) the language used by the press has more influence than the language used by teachers in school. Based on that, the mass media has an obligation to promote Indonesian language properly and correctly. Proper Indonesian is to use the language in accordance with the communication situation, while using Indonesian correctly is using language in accordance with the rules. The suitability of the rules based on the guidelines recognized and published by the Ministry of Education and Culture’s National Agency for Language Development and Books, namely the General Guidelines for Indonesian Spelling and Indonesian Language, Foreign Language Guidelines and the Large Indonesian Dictionary. This research sought to examine the use of foreign terms in four printed newspaper in Banten Province, namely Radar Banten, Banten News, Banten Post, and Banten Raya which were published in July 2018 with 23 headline news articles. This research employed descriptive qualitative method with data analysis steps, namely (1) listening; (2) identification and classification of data based on the use of foreign terms found; (3) data interpretation; and (4) making conclusions. Based on the results of data analysis, it is found that there are twenty-five (25) data of foreign terms that have been absorped or translated but are not written in the equivalent form or translation. There are also fifteen (15) data that indicate errors in writing based on the standard form of foreign terms that have Indonesian word equivalents and four (4) data that do not have word equivalents but their writing are not in accordance with the guidelines, which must be underlined or italized

The Implications

2019 ◽  
pp. 106-125
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Interpretation ◽  
Data Representation ◽  
Research Data ◽  
Heuristic Inquiry ◽  
Research Experiences ◽  
Doctoral Research ◽  
Data Analyses

This chapter presents current research insights into various forms and representations of the results of self-as-subject data analyses from both expert and doctoral research experiences. Distinctions between heuristic inquiry and autoethnography are highlighted as well as differences between self-as-subject data analysis approaches when compared with convention methods used within other forms of qualitative research. In self-as-subject research, data representation and data interpretation are often also simultaneous or overlap in presentation to illustrate key findings and insights into the phenomenon of inquiry.

scholarly journals IDseq—An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Katrina L Kalantar ◽  
Tiago Carvalho ◽  
Charles F A de Bourcy ◽  
Boris Dimitrov ◽  
Greg Dingle ◽  
...  
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Web Application ◽  
Pathogen Detection ◽  
A Priori ◽  
Virus Detection ◽  
Data Interpretation ◽  
Nasopharyngeal Swab ◽  
Microbial Composition ◽  
Detection And Identification

Abstract Background Metagenomic next-generation sequencing (mNGS) has enabled the rapid, unbiased detection and identification of microbes without pathogen-specific reagents, culturing, or a priori knowledge of the microbial landscape. mNGS data analysis requires a series of computationally intensive processing steps to accurately determine the microbial composition of a sample. Existing mNGS data analysis tools typically require bioinformatics expertise and access to local server-class hardware resources. For many research laboratories, this presents an obstacle, especially in resource-limited environments. Findings We present IDseq, an open source cloud-based metagenomics pipeline and service for global pathogen detection and monitoring (https://idseq.net). The IDseq Portal accepts raw mNGS data, performs host and quality filtration steps, then executes an assembly-based alignment pipeline, which results in the assignment of reads and contigs to taxonomic categories. The taxonomic relative abundances are reported and visualized in an easy-to-use web application to facilitate data interpretation and hypothesis generation. Furthermore, IDseq supports environmental background model generation and automatic internal spike-in control recognition, providing statistics that are critical for data interpretation. IDseq was designed with the specific intent of detecting novel pathogens. Here, we benchmark novel virus detection capability using both synthetically evolved viral sequences and real-world samples, including IDseq analysis of a nasopharyngeal swab sample acquired and processed locally in Cambodia from a tourist from Wuhan, China, infected with the recently emergent SARS-CoV-2. Conclusion The IDseq Portal reduces the barrier to entry for mNGS data analysis and enables bench scientists, clinicians, and bioinformaticians to gain insight from mNGS datasets for both known and novel pathogens.

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