№ files_lp_3_process_7_076360
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The document presents a retrospective cohort study on the clinical utility of the iL33 outcome from Intelligent Liver Function Tests (iLFTs) for detecting malignancy in patients over 40 years old.
Year: 2022
Region / City: NHS Tayside
Topic: Liver disease detection, Malignancy detection
Document Type: Retrospective Observational Cohort Study
Institution: NHS Tayside
Author: Not specified
Target Audience: Clinicians, Medical researchers
Period of Effect: April 2022 – July 2024
Date of Approval: Not specified
Date of Changes: Not specified
Price: 8 / 10 USD
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Northern England Haemato-Oncology Diagnostic Service: NEHODSA Specialist Integrated Haematological Malignancy Diagnostic Service User Guide
Note: Year
Topic: Haematological malignancies, diagnostic service
Document type: User Guide
Organization: Newcastle upon Tyne Hospitals NHS Foundation Trust
Target audience: Medical professionals, laboratory staff
Description: This document provides an overview of the services and procedures provided by the Northern England Haemato-Oncology Diagnostic Service (NEHODS), including contact information, sample requirements, and reporting systems.
Protocol for the Examination of Specimens From Patients With Primary Gestational Trophoblastic Malignancy
Year: 2021
Region / City: Not specified
Theme: Pathology, Cancer Protocols
Document Type: Protocol
Institution: CAP (College of American Pathologists)
Author: Uma G. Krishnamurti, MD, PhD; Barbara A. Crothers, DO
Target Audience: Pathologists, Medical Professionals in Cancer Care
Effective Period: March 2022
Approval Date: November 2021
Last Revision Date: November 2021
Accessing the Saved Property to Detect Document Changes in Microsoft Word
Topic: Microsoft Word automation
Type of document: Technical knowledge base article
Software: Microsoft Word
Programming language: VBA
Subject: Document change detection
Concepts discussed: Saved property, Document_Close event, Save and SaveAs methods
Audience: Developers and advanced users working with Word macros
Focus: Version control logic in documents
Technical context: Word object model
2022-2023 Proposal for Validation of HPLC and MS Methods to Detect NNAT in Biological Samples
Year: 2022-2023
Region / Institution: University of Nebraska–Lincoln, Water Sciences Laboratory, USA
Subject: Analytical chemistry, toxicology
Document type: Research proposal
Authors: Unspecified student researcher under Drs. Kim, Peeples, Rhoades, and Snow
Target audience: Scientific community and laboratory researchers
Research focus: Detection and validation of N-nitrosoatrazine (NNAT) in blood and tissue samples
Methods: High performance liquid chromatography (HPLC) and mass spectrometry (MS)
Sample types: Mouse placenta, fetal tissue, rat blood
Timeline: Stage 1 (Jan–May 2022), Stage 2 (Jun 2022–May 2023)
Objective: Assess accuracy and efficiency of HPLC and MS for NNAT detection
Appendix A. Supplementary Data for Development of a Rapid Viability RT-PCR (RV-RT-PCR) Method to Detect Infectious SARS-CoV-2 from Swabs
Document Type: Supplementary data appendix
Subject: Development and validation of a rapid viability RT-PCR (RV-RT-PCR) method for detection of infectious SARS-CoV-2
Pathogen: SARS-CoV-2
Experimental Model: Vero E6 cells
Institutions: U.S. Environmental Protection Agency, Office of Research and Development; Lawrence Livermore National Laboratory
Authors: Sanjiv R. Shah; Staci R. Kane; Maher Elsheikh; Teneile M. Alfaro
Geographic Location: Washington, District of Columbia, USA; Livermore, California, USA
Data Type: RT-PCR cycle threshold (CT) measurements; plaque forming units (PFU); TCID50 values; recovery efficiency data
Infection Conditions: 1-hour and 2-hour infection periods with post-infection incubation at T0, T12, and T24
Sample Type: SARS-CoV-2-infected cell cultures and swab swatches
Analytical Replicates: Triplicate RT-PCR analyses with pooled standard deviations
Tables Included: Table S1; Table S2; Table S3; Table S4
Topics: iLFTs Malignancy Detect