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Search Publications by: John T. Elliott (Fed)

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Displaying 1 - 25 of 148

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

August 8, 2023
Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD

Technical Framework for High Quality New Approach Methodologies (NAMs)

July 15, 2022
Author(s)
Elijah Petersen, John T. Elliott, John Gordon, Nicole Kleinstreuer, Emily Reinke, Matthias Roesslein, Blaza Toman
New approach methodologies (NAMs) are in vitro, in chemico, and computational approaches that can potentially be used to reduce animal testing. For NAMs that require laboratory experiments, it is critical that they provide consistent and reliable results

Characteristics to Consider when Selecting a Positive Control Material for an In Vitro Assay

September 29, 2021
Author(s)
Elijah Petersen, Andrew Nguyen, Jeffrey Brown, John T. Elliott, Amy Clippinger, John Gordon, Nicole Kleinstreuer, Matthias Roesslein
The use of in vitro assays to inform decision-making requires robust and reproducible results across studies, laboratories, and time. Experiments using positive control materials are an integral component of an assay procedure to demonstrate the extent to

Accurate and Robust Trypan Blue-Based Cell Viability Measurement Using Neural Networks

July 19, 2021
Author(s)
Adele Peskin, Steven Lund, Chenyi Ling, Laura Pierce, Sumona Sarkar, Firdavs Kurbanov, Michael Halter, Joe Chalfoun, John T. Elliott
Trypan blue dye exclusion-based cell viability measurements are highly dependent upon image quality and consistency. In order to make measurements repeatable, one must be able to reliably capture images at a consistent focal plane, and with signal-to-noise

Workshop 13: Building Measurement Assurance in Flow Cytometry

June 17, 2019
Author(s)
Lili Wang, Stephen Perfetto, Robert Hoffman, John T. Elliott, Sheng Lin-Gibson, Steven Bauer, Heba Degheidy, Judith Arcidiacono, Litwin Virginia
Two workshops were held to identify measurement challenges and potential solutions for building measurement assurance for flow cytometry. This report summarizes key findings, including the need for high quality reagents, reference standards or materials

Generating Domain Terminologies using Root- and Rule-Based Terms

December 21, 2018
Author(s)
Talapady N. Bhat, John T. Elliott, Ursula R. Kattner, Carelyn E. Campbell, Eswaran Subrahmanian, Ram D. Sriram, Jacob Collard, Monarch Ira
Motivated by the need for exible, intuitive, reusable, and normalized ter- minology for the semantic web, we present a general approach for generat- ing sets of such terminologies from nat- ural language documents. The terms that this approach generates

How measurement science can improve confidence in research results

April 23, 2018
Author(s)
Anne L. Plant, Chandler A. Becker, Robert J. Hanisch, Ronald F. Boisvert, Antonio M. Possolo, John T. Elliott
The concepts and methods of measurement science can help provide clarity in the definition of reproducibility and its role in the scientific process. The qualities of rigorous research include reproducibility as one component, but there are other important