quantifiable - PMC

Silvia Baroncelli, Maria F. Pirillo, Enrica Tamburrini, Giovanni Guaraldi, Carmela Pinnetti, Anna Degli Antoni, Clementina M. Galluzzo, Chiara Stentarelli, Roberta Amici, Marco Floridia

AIDS Res Hum Retroviruses. 2015 Jul 1; 31(7): 673–678. doi: 10.1089/aid.2014.0288

PMCID:: PMC4505753

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Brief Report: Quantifiable Plasma Tenofovir Among South African Women Using Daily Oral Pre-exposure Prophylaxis During the ECHO Trial

Ivana Beesham, Leila E. Mansoor, Dvora L. Joseph Davey, Thesla Palanee-Phillips, Jenni Smit, Khatija Ahmed, Pearl Selepe, Cheryl Louw, Mandisa Singata-Madliki, Philip Kotze, Renee Heffron, Urvi M. Parikh, Lubbe Wiesner, Helen Rees, Jared M. Baeten, Mags Beksinska

J Acquir Immune Defic Syndr. 2022 Sep 1; 91(1): 26–30. Published online 2022 Jun 9. doi: 10.1097/QAI.0000000000003023

PMCID:: PMC9377486

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Identification of Quantifiable Predictors of Relapse in Patients with Alcohol‐Associated Liver Disease

Nicole T. Shen, Alyson Kaplan, Khalid Fahoum, Elora Basu, Akhil Shenoy, Nabeel Wahid, Amanda Ivatorov, Joseph Pisa, Annaheta Salajegheh, Enad Dawod, Russell Rosenblatt, Brett Fortune, Monika Safford, Robert S. Brown, Jr.

Hepatol Commun. 2021 Jul; 5(7): 1156–1164. Published online 2021 Mar 13. doi: 10.1002/hep4.1704

PMCID:: PMC8279469

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Second-Harmonic Generated Quantifiable Fibrosis Parameters Provide Signatures for Disease Progression and Regression in Nonalcoholic Fatty Liver Disease

Nicole Ng, Dean Tai, Yayun Ren, Elaine Chng, Mulugeta Seneshaw, Faridoddin Mirshahi, Michael Idowu, Amon Asgharpour, Arun J Sanyal

Clin Pathol. 2023 Jan-Dec; 16: 2632010X231162317. Published online 2023 Mar 26. doi: 10.1177/2632010X231162317

PMCID:: PMC10052491

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Predicting Outcome in Comatose Patients: The Role of EEG Reactivity to Quantifiable Electrical Stimuli

Gang Liu, Yingying Su, Yifei Liu, Mengdi Jiang, Yan Zhang, Yunzhou Zhang, Daiquan Gao

Evid Based Complement Alternat Med. 2016; 2016: 8273716. Published online 2016 Apr 3. doi: 10.1155/2016/8273716

PMCID:: PMC4834161

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Examining Whether AOSLO-Based Foveal Cone Metrics in Achromatopsia and Albinism Are Representative of Foveal Cone Structure

Katie M. Litts, Erica N. Woertz, Niamh Wynne, Brian P. Brooks, Alicia Chacon, Thomas B. Connor, Jr., Deborah Costakos, Alina Dumitrescu, Arlene V. Drack, Gerald A. Fishman, William W. Hauswirth, Christine N. Kay, Byron L. Lam, Michel Michaelides, Mark E. Pennesi, Kimberly E. Stepien, Sasha Strul, C. Gail Summers, Joseph Carroll

Transl Vis Sci Technol. 2021 May; 10(6): 22. Published online 2021 May 17. doi: 10.1167/tvst.10.6.22

PMCID:: PMC8132001

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Archetypal Analysis Reveals Quantifiable Patterns of Visual Field Loss in Optic Neuritis

Elena Solli, Hiten Doshi, Tobias Elze, Louis Pasquale, Michael Wall, Mark Kupersmith

Transl Vis Sci Technol. 2022 Jan; 11(1): 27. Published online 2022 Jan 19. doi: 10.1167/tvst.11.1.27

PMCID:: PMC8787544

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Form follows function: Nuclear morphology as a quantifiable predictor of cellular senescence

Jakub Belhadj, Surina Surina, Markus Hengstschläger, Alexis J. Lomakin

Aging Cell. 2023 Dec; 22(12): e14012. Published online 2023 Oct 16. doi: 10.1111/acel.14012

PMCID:: PMC10726876

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Quantifiable TCR repertoire changes in pre-diagnostic blood specimens among high-grade ovarian cancer patients

Xuexin Yu, Jianfeng Ye, Cassandra A. Hathaway, Shelley Tworoger, Jayanthi Lea, Bo Li

Version 2. bioRxiv. Preprint. 2023 Oct 17. doi: 10.1101/2023.10.12.562056

PMCID:: PMC10614767

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Circulating Brodalumab Levels and Therapy Outcomes in Patients With Psoriasis Treated With Brodalumab: A Case Series

Christian Enevold, Nikolai Loft, Anne Bregnhøj, Claus Zachariae, Lars Iversen, Lone Skov, Claus Henrik Nielsen

JAMA Dermatol. 2022 Jul; 158(7): 762–769. Published online 2022 Jun 1. doi: 10.1001/jamadermatol.2022.1863

PMCID:: PMC9161115

Article

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Integration and impact of pharmacists in general practice internationally: A rapid review

Georgios Dimitrios Karampatakis, Nilesh Patel, Graham Stretch, Kath Ryan

J Health Serv Res Policy. 2024 Jan; 29(1): 56–67. Published online 2023 Jun 17. doi: 10.1177/13558196231179831

PMCID:: PMC10729538

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The correlation between two occlusal analyzers for the measurement of bite force

Yi-Fang Huang, Chin-Man Wang, Wann-Yun Shieh, Yu-Fang Liao, Hsiang-Hsi Hong, Chung-Ta Chang

BMC Oral Health. 2022; 22: 472. Published online 2022 Nov 5. doi: 10.1186/s12903-022-02484-9

PMCID:: PMC9636614

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Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium

Mariem Ellouze, Nathália Buss Da Silva, Katia Rouzeau-Szynalski, Laura Coisne, Frédérique Cantergiani, József Baranyi

Front Microbiol. 2021; 12: 639546. Published online 2021 Feb 17. doi: 10.3389/fmicb.2021.639546

Correction in:: Front Microbiol. 2021; 12: 755736.

PMCID:: PMC7925994

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Utility of Hepatitis C Viral Load Monitoring on Direct-Acting Antiviral Therapy

Sreetha Sidharthan, Anita Kohli, Zayani Sims, Amy Nelson, Anu Osinusi, Henry Masur, Shyam Kottilil

Clin Infect Dis. 2015 Jun 15; 60(12): 1743–1751. Published online 2015 Mar 2. doi: 10.1093/cid/civ170

PMCID:: PMC4834854

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Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD

Qiran Chen, Yun Zhou, Chao Ji, James E. Klaunig, Kan Shao

Environ Health Perspect. 2023 Dec; 131(12): 127022. Published online 2023 Dec 29. doi: 10.1289/EHP12677

PMCID:: PMC10756338

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Using zebrafish larval models to study brain injury, locomotor and neuroinflammatory outcomes following intracerebral haemorrhage

Siobhan Crilly, Alexandra Njegic, Sarah E. Laurie, Elisavet Fotiou, Georgina Hudson, Jack Barrington, Kirsty Webb, Helen L. Young, Andrew P. Badrock, Adam Hurlstone, Jack Rivers-Auty, Adrian R. Parry-Jones, Stuart M. Allan, Paul R. Kasher

Version 2. F1000Res. 2018; 7: 1617. Published online 2018 Nov 8. doi: 10.12688/f1000research.16473.2

PMCID:: PMC6234746

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Quantifiable peptide library bridges the gap for proteomics based biomarker discovery and validation on breast cancer

Sung-Soo Kim, HyeonSeok Shin, Kyung-Geun Ahn, Young-Min Park, Min-Chul Kwon, Jae-Min Lim, Eun-Kyung Oh, Yumi Kim, Seung-Man Han, Dong-Young Noh

Sci Rep. 2023; 13: 8991. Published online 2023 Jun 2. doi: 10.1038/s41598-023-36159-4

PMCID:: PMC10238494

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A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles

Kyungbok Sung, Kyoung-Wook Min, Jeongdan Choi, Byung-Cheol Kim

Sensors (Basel) 2020 Mar; 20(5): 1356. Published online 2020 Mar 2. doi: 10.3390/s20051356

PMCID:: PMC7085529

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Figure 2.

Reproducibility of quantitative data across laboratory sites. Standard deviations of replicates from cytomegalovirus (CMV) AD-169 dilution series are plotted. A, COBAS AmpliPrep/COBAS TaqMan CMV Test precision by study site. Quantifiable replicates at 2.18_log10 copies/mL: site 2, n = 2; site 3, n = 0; site 4, n = 6; site 5, n = 1; site 6, n = 4. Standard deviations at 2.18_log10 copies/mL were not calculated for sites 3 and 5. At 2.74_log10 copies/mL, all replicates were quantifiable at all sites except site 6 (11/15 quantifiable). B, Precision for the 5 comparator polymerase chain reaction assays. Replicates of each panel member tested at site 2, n = 12; at sites 3–6, n = 15. Quantifiable replicates at 2.18_log10 copies/mL: site 2, n = 2; site 3, n = 15; site 4, n = 11; site 5, n = 0; site 6, n = 10. Standard deviation at 2.18_log10 copies/mL was not calculated for site 3. At 2.74_log10 copies/mL, all replicates were quantifiable at all sites except site 4 (0/15 quantifiable) and site 5 (9/15 quantifiable). Abbreviation: CAP/CTM CMV, COBAS AmpliPrep/COBAS TaqMan CMV Test.

An International Multicenter Performance Analysis of Cytomegalovirus Load Tests

Clin Infect Dis. 2013 Feb 1;56(3):367-373.
Fig 2Percentage of quantifiable samples.

The dotted line indicates a level of 50% quantifiable samples.

Lead content in wild game shot with lead or non-lead ammunition – Does “state of the art consumer health protection” require non-lead ammunition?

PLoS One. 2018;13(7):e0200792.
Figure 1

Overview of a formal and quantifiable log analysis framework.

A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles

Sensors (Basel). 2020 Mar;20(5):1356.
Figure 3

(A) Plotted mean plasma concentration versus time curves of ZEN-14G and its quantifiable metabolites (α-ZEL-14G, α-ZEL, and ZEN) in Wistar rats after oral administration. α-ZEL-14G and ZEN-14G were the principle metabolites in plasma with the same elimination tendency. (B) Plotted mean plasma concentration versus time curves of ZEN-14G and its quantifiable metabolites after intravenous injection. ZEN-14G was rapidly converted into ZEN. (C) General distribution of ZEN-14G and its quantifiable metabolites in Wistar rats’ plasma after oral administration (the same data set as panel A). ZEN-14G and its quantifiable metabolites were detected at very low levels. (D) The distribution of ZEN-14G and its quantifiable metabolites in Wistar rats’ plasma after intravenous administration (the same data set as panel B). ZEN was the predominant derivative in plasma following intravenous injection.

Metabolic Profile, Bioavailability and Toxicokinetics of Zearalenone-14-Glucoside in Rats after Oral and Intravenous Administration by Liquid Chromatography High-Resolution Mass Spectrometry and Tandem Mass Spectrometry

Int J Mol Sci. 2019 Nov;20(21):5473.