scholarly journals ABO/Rh Testing, Antibody Screening, and Biometric Technology as Tools to Combat Insurance Fraud: An Example and Discussion

2014 ◽  
Vol 45 (1) ◽  
pp. e3-e7 ◽  
Author(s):  
Eleanor K. Jator ◽  
Kimily Hughley
2008 ◽  
Vol 36 (3) ◽  
pp. 78
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  

2021 ◽  
Author(s):  
David Cate ◽  
Helen Hsieh ◽  
Veronika Glukhova ◽  
Joshua D Bishop ◽  
H Gleda Hermansky ◽  
...  

<p></p><p>The global COVID-19 pandemic has created an urgent demand for large numbers of inexpensive, accurate, rapid, point-of-care diagnostic tests. Analyte-based assays are suitably inexpensive and can be rapidly mass-produced, but for sufficiently accurate performance they require highly optimized antibodies and assay conditions. We used an automated liquid handling system, customized to handle arrays of lateral flow immunoassay (LFA) tests in a high-throughput screen, to identify anti-nucleocapsid antibodies that will perform optimally in an LFA. We tested 1021 anti-nucleocapsid antibody pairs as LFA capture and detection reagents with the goal of highlighting pairs that have the greatest affinity for unique epitopes of the nucleocapsid protein of SARS-CoV-2 within the LFA format. In contrast to traditional antibody screening methods (e.g., ELISA, bio-layer interferometry), the method described here integrates real-time reaction kinetics with transport in, and immobilization directly onto, nitrocellulose. We have identified several candidate antibody pairs that are suitable for further development of an LFA for SARS-CoV-2.</p><p></p>


2012 ◽  
Vol 7 (1) ◽  
pp. 57-75 ◽  
Author(s):  
Catalina Bolance ◽  
Mercedes Ayuso ◽  
Montserrat Guillen

Author(s):  
Georges Dionne ◽  
Florence Giuliano ◽  
Pierre Picard
Keyword(s):  

Transfusion ◽  
2021 ◽  
Author(s):  
Alfredo Mendrone‐Junior ◽  
Carla Luana Dinardo ◽  
Suzete Cleuza Ferreira ◽  
Anna Nishya ◽  
Nanci Alves Salles ◽  
...  

Author(s):  
Tsu-Wang Shen ◽  
Shan-Chun Chang

Abstract Purpose Although electrocardiogram (ECG) has been proven as a biometric for human identification, applying biometric technology remains challenging with diverse heart rate circumstances in which high intensity heart rate caused waveform deformation may not be known in advance when ECG templates are registered. Methods A calibration method that calculates the ratio of the length of an unidentified electrocardiogram signal to the length of an electrocardiogram template is proposed in this paper. Next, the R peak is used as an axis anchor point of a trigonometric projection (TP) to attain the displacement value. Finally, the unidentified ECG signal is calibrated according to the generated trigonometric value, which corresponds to the trigonometric projection degree of the ratio and the attained displacement measurement. Results The results reveal that the proposed method provides superior overall performance compared with that of the conventional downsampling method, based on the percentage root mean square difference (PRD), correlation coefficients, and mean square error (MSE). Conclusion The curve fitting equation directly maps from the heart rate levels to the TP degree without prior registration information. The proposed ECG calibration method offers a more robust system against heart rate interference when conducting ECG identification.


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