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Showing 253 to 264 of 640 entries
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Performance-based assessment of clinical ethics using an objective structured clinical examination.

Academic medicine : journal of the Association of American Medical Colleges

Singer PA, Robb A, Cohen R, Norman G, Turnbull J.
PMID: 9114869
Acad Med. 1996 May;71(5):495-8. doi: 10.1097/00001888-199605000-00021.

PURPOSE: To further examine the objective structured clinical examination (OSCE) as a performance-based assessment method for clinical ethics.METHOD: In the spring of 1993, a volunteer sample of 88 final-year medical students from all five Ontario medical schools took a...

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Singer PA, Robb A, Cohen R, et al. Performance-based assessment of clinical ethics using an objective structured clinical examination. Acad Med. 1996;71(5):495-8doi: 10.1097/00001888-199605000-00021.
Singer, P. A., Robb, A., Cohen, R., Norman, G., & Turnbull, J. (1996). Performance-based assessment of clinical ethics using an objective structured clinical examination. Academic medicine : journal of the Association of American Medical Colleges, 71(5), 495-8. https://doi.org/10.1097/00001888-199605000-00021
Singer, P A, et al. "Performance-based assessment of clinical ethics using an objective structured clinical examination." Academic medicine : journal of the Association of American Medical Colleges vol. 71,5 (1996): 495-8. doi: https://doi.org/10.1097/00001888-199605000-00021
Singer PA, Robb A, Cohen R, Norman G, Turnbull J. Performance-based assessment of clinical ethics using an objective structured clinical examination. Acad Med. 1996 May;71(5):495-8. doi: 10.1097/00001888-199605000-00021. PMID: 9114869.
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Mental representations of medical diagnostic knowledge: a review.

Academic medicine : journal of the Association of American Medical Colleges

Custers EJ, Regehr G, Norman GR.
PMID: 8940935
Acad Med. 1996 Oct;71(10):S55-61. doi: 10.1097/00001888-199610000-00044.

No abstract available.

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Custers EJ, Regehr G, Norman GR. Mental representations of medical diagnostic knowledge: a review. Acad Med. 1996;71(10):S55-61doi: 10.1097/00001888-199610000-00044.
Custers, E. J., Regehr, G., & Norman, G. R. (1996). Mental representations of medical diagnostic knowledge: a review. Academic medicine : journal of the Association of American Medical Colleges, 71(10), S55-61. https://doi.org/10.1097/00001888-199610000-00044
Custers, E J, et al. "Mental representations of medical diagnostic knowledge: a review." Academic medicine : journal of the Association of American Medical Colleges vol. 71,10 (1996): S55-61. doi: https://doi.org/10.1097/00001888-199610000-00044
Custers EJ, Regehr G, Norman GR. Mental representations of medical diagnostic knowledge: a review. Acad Med. 1996 Oct;71(10):S55-61. doi: 10.1097/00001888-199610000-00044. PMID: 8940935.
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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation.

IEEE transactions on medical imaging

Vu MH, Norman G, Nyholm T, Lofstedt T.
PMID: 34965206
IEEE Trans Med Imaging. 2021 Dec 29; doi: 10.1109/TMI.2021.3139161. Epub 2021 Dec 29.

In the last years, deep learning has dramatically improved the performances in a variety of medical image analysis applications. Among different types of deep learning models, convolutional neural networks have been among the most successful and they have been...

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Vu MH, Norman G, Nyholm T, et al. A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation. IEEE Trans Med Imaging. 2021;doi: 10.1109/TMI.2021.3139161.
Vu, M. H., Norman, G., Nyholm, T., & Lofstedt, T. (2021). A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation. IEEE transactions on medical imaging, . https://doi.org/10.1109/TMI.2021.3139161
Vu, Minh H, et al. "A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation." IEEE transactions on medical imaging vol. (2021). doi: https://doi.org/10.1109/TMI.2021.3139161
Vu MH, Norman G, Nyholm T, Lofstedt T. A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation. IEEE Trans Med Imaging. 2021 Dec 29; doi: 10.1109/TMI.2021.3139161. Epub 2021 Dec 29. PMID: 34965206.
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New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in .

Frontiers in plant science

Hixson KK, Marques JV, Wendler JP, McDermott JE, Weitz KK, Clauss TR, Monroe ME, Moore RJ, Brown J, Lipton MS, Bell CJ, Paša-Tolić L, Davin LB, Lewis NG.
PMID: 34113365
Front Plant Sci. 2021 May 25;12:664250. doi: 10.3389/fpls.2021.664250. eCollection 2021.

Multiple

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Hixson KK, Marques JV, Wendler JP, et al. New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in . Front Plant Sci. 2021;12:664250doi: 10.3389/fpls.2021.664250.
Hixson, K. K., Marques, J. V., Wendler, J. P., McDermott, J. E., Weitz, K. K., Clauss, T. R., Monroe, M. E., Moore, R. J., Brown, J., Lipton, M. S., Bell, C. J., Paša-Tolić, L., Davin, L. B., & Lewis, N. G. (2021). New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in . Frontiers in plant science, 12664250. https://doi.org/10.3389/fpls.2021.664250
Hixson, Kim K, et al. "New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in ." Frontiers in plant science vol. 12 (2021): 664250. doi: https://doi.org/10.3389/fpls.2021.664250
Hixson KK, Marques JV, Wendler JP, McDermott JE, Weitz KK, Clauss TR, Monroe ME, Moore RJ, Brown J, Lipton MS, Bell CJ, Paša-Tolić L, Davin LB, Lewis NG. New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in . Front Plant Sci. 2021 May 25;12:664250. doi: 10.3389/fpls.2021.664250. eCollection 2021. PMID: 34113365; PMCID: PMC8185232.
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Examining the repeatability of a novel test to measure exertional dyspnoea in chronic obstructive pulmonary disease.

Respiratory physiology & neurobiology

Aitken CR, Sharma P, Louis M, Walsh J, Stewart GM, Sabapathy S, Adams L, Morris NR.
PMID: 34864520
Respir Physiol Neurobiol. 2022 Feb;296:103826. doi: 10.1016/j.resp.2021.103826. Epub 2021 Dec 03.

BACKGROUND: Exertional dyspnoea(ED) is a hallmark of chronic obstructive pulmonary disease(COPD). We examined the repeatability and face validity of the end-exercise ED(EDMETHODS: Twenty-six individuals with COPD(13 Females, age:69 ± 5.5yrs, FEVRESULTS: Mean 6MWT distance was 488 ± 58 m....

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Aitken CR, Sharma P, Louis M, et al. Examining the repeatability of a novel test to measure exertional dyspnoea in chronic obstructive pulmonary disease. Respir Physiol Neurobiol. 2021;296:103826doi: 10.1016/j.resp.2021.103826.
Aitken, C. R., Sharma, P., Louis, M., Walsh, J., Stewart, G. M., Sabapathy, S., Adams, L., & Morris, N. R. (2022). Examining the repeatability of a novel test to measure exertional dyspnoea in chronic obstructive pulmonary disease. Respiratory physiology & neurobiology, 296103826. https://doi.org/10.1016/j.resp.2021.103826
Aitken, Craig R, et al. "Examining the repeatability of a novel test to measure exertional dyspnoea in chronic obstructive pulmonary disease." Respiratory physiology & neurobiology vol. 296 (2022): 103826. doi: https://doi.org/10.1016/j.resp.2021.103826
Aitken CR, Sharma P, Louis M, Walsh J, Stewart GM, Sabapathy S, Adams L, Morris NR. Examining the repeatability of a novel test to measure exertional dyspnoea in chronic obstructive pulmonary disease. Respir Physiol Neurobiol. 2022 Feb;296:103826. doi: 10.1016/j.resp.2021.103826. Epub 2021 Dec 03. PMID: 34864520.
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Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis).

Health economics

Jonker MF, Norman R.
PMID: 34841637
Health Econ. 2021 Nov 28; doi: 10.1002/hec.4457. Epub 2021 Nov 28.

Discrete choice experiments (DCEs) that include health states and duration are becoming a common method for estimating quality-adjusted life year (QALY) tariffs. These DCEs need to be analyzed under the assumption that respondents treat health and duration multiplicatively. However,...

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Jonker MF, Norman R. Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis). Health Econ. 2021;doi: 10.1002/hec.4457.
Jonker, M. F., & Norman, R. (2021). Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis). Health economics, . https://doi.org/10.1002/hec.4457
Jonker, Marcel F, and Norman, Richard. "Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis)." Health economics vol. (2021). doi: https://doi.org/10.1002/hec.4457
Jonker MF, Norman R. Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis). Health Econ. 2021 Nov 28; doi: 10.1002/hec.4457. Epub 2021 Nov 28. PMID: 34841637.
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Self-consistent molecular dynamics calculation of diffusion in higher n-alkanes.

The Journal of chemical physics

Kondratyuk ND, Norman GE, Stegailov VV.
PMID: 27908129
J Chem Phys. 2016 Nov 28;145(20):204504. doi: 10.1063/1.4967873.

Diffusion is one of the key subjects of molecular modeling and simulation studies. However, there is an unresolved lack of consistency between Einstein-Smoluchowski (E-S) and Green-Kubo (G-K) methods for diffusion coefficient calculations in systems of complex molecules. In this...

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Kondratyuk ND, Norman GE, Stegailov VV. Self-consistent molecular dynamics calculation of diffusion in higher n-alkanes. J Chem Phys. 2016;145(20):204504doi: 10.1063/1.4967873.
Kondratyuk, N. D., Norman, G. E., & Stegailov, V. V. (2016). Self-consistent molecular dynamics calculation of diffusion in higher n-alkanes. The Journal of chemical physics, 145(20), 204504. https://doi.org/10.1063/1.4967873
Kondratyuk, Nikolay D, et al. "Self-consistent molecular dynamics calculation of diffusion in higher n-alkanes." The Journal of chemical physics vol. 145,20 (2016): 204504. doi: https://doi.org/10.1063/1.4967873
Kondratyuk ND, Norman GE, Stegailov VV. Self-consistent molecular dynamics calculation of diffusion in higher n-alkanes. J Chem Phys. 2016 Nov 28;145(20):204504. doi: 10.1063/1.4967873. PMID: 27908129.
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Influence of muscle fatigue on motor task performance of the hand and wrist: A systematic review.

Human movement science

Forman GN, Sonne MW, Kociolek AM, Gabriel DA, Holmes MWR.
PMID: 34929434
Hum Mov Sci. 2022 Feb;81:102912. doi: 10.1016/j.humov.2021.102912. Epub 2021 Dec 17.

Muscle fatigue is represented as a reduction in force production capability; however, fatigue does not necessarily result in performance impairments. As the distal upper limb serves as the end effector when interacting or manipulating objects, it is important to...

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Forman GN, Sonne MW, Kociolek AM, et al. Influence of muscle fatigue on motor task performance of the hand and wrist: A systematic review. Hum Mov Sci. 2021;81:102912doi: 10.1016/j.humov.2021.102912.
Forman, G. N., Sonne, M. W., Kociolek, A. M., Gabriel, D. A., & Holmes, M. W. R. (2022). Influence of muscle fatigue on motor task performance of the hand and wrist: A systematic review. Human movement science, 81102912. https://doi.org/10.1016/j.humov.2021.102912
Forman, Garrick N, et al. "Influence of muscle fatigue on motor task performance of the hand and wrist: A systematic review." Human movement science vol. 81 (2022): 102912. doi: https://doi.org/10.1016/j.humov.2021.102912
Forman GN, Sonne MW, Kociolek AM, Gabriel DA, Holmes MWR. Influence of muscle fatigue on motor task performance of the hand and wrist: A systematic review. Hum Mov Sci. 2022 Feb;81:102912. doi: 10.1016/j.humov.2021.102912. Epub 2021 Dec 17. PMID: 34929434.
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Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study.

Aging and cancer

Galloway JE, Holderbaum AM, Arya N, Zhang S, Bodnar MS, Norman R, Carson WE, Yu L, Kendra KL, Burd CE.
PMID: 34337428
Aging Cancer. 2020 Dec;1(1):58-70. doi: 10.1002/aac2.12012. Epub 2020 Sep 17.

BACKGROUND: The impact of biologic aging on immune checkpoint inhibitor (ICI) toxicity and efficacy is underexplored in metastatic melanoma (MM). In peripheral blood T-lymphocytes (PBTLs), biologic aging is characterized by changes in T-cell composition and cellular senescence. Whether indicators...

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Galloway JE, Holderbaum AM, Arya N, et al. Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study. Aging Cancer. 2020;1(1):58-70doi: 10.1002/aac2.12012.
Galloway, J. E., Holderbaum, A. M., Arya, N., Zhang, S., Bodnar, M. S., Norman, R., Carson, W. E., Yu, L., Kendra, K. L., & Burd, C. E. (2020). Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study. Aging and cancer, 1(1), 58-70. https://doi.org/10.1002/aac2.12012
Galloway, Jason E, et al. "Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study." Aging and cancer vol. 1,1 (2020): 58-70. doi: https://doi.org/10.1002/aac2.12012
Galloway JE, Holderbaum AM, Arya N, Zhang S, Bodnar MS, Norman R, Carson WE, Yu L, Kendra KL, Burd CE. Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study. Aging Cancer. 2020 Dec;1(1):58-70. doi: 10.1002/aac2.12012. Epub 2020 Sep 17. PMID: 34337428; PMCID: PMC8323507.
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SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome.

bioRxiv : the preprint server for biology

Zimmerman MI, Porter JR, Ward MD, Singh S, Vithani N, Meller A, Mallimadugula UL, Kuhn CE, Borowsky JH, Wiewiora RP, Hurley MFD, Harbison AM, Fogarty CA, Coffland JE, Fadda E, Voelz VA, Chodera JD, Bowman GR.
PMID: 32637963
bioRxiv. 2020 Oct 07; doi: 10.1101/2020.06.27.175430.

SARS-CoV-2 has intricate mechanisms for initiating infection, immune evasion/suppression, and replication, which depend on the structure and dynamics of its constituent proteins. Many protein structures have been solved, but far less is known about their relevant conformational changes. To...

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Zimmerman MI, Porter JR, Ward MD, et al. SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome. bioRxiv. 2020;doi: 10.1101/2020.06.27.175430.
Zimmerman, M. I., Porter, J. R., Ward, M. D., Singh, S., Vithani, N., Meller, A., Mallimadugula, U. L., Kuhn, C. E., Borowsky, J. H., Wiewiora, R. P., Hurley, M. F. D., Harbison, A. M., Fogarty, C. A., Coffland, J. E., Fadda, E., Voelz, V. A., Chodera, J. D., & Bowman, G. R. (2020). SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome. bioRxiv : the preprint server for biology, . https://doi.org/10.1101/2020.06.27.175430
Zimmerman, Maxwell I, et al. "SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome." bioRxiv : the preprint server for biology vol. (2020). doi: https://doi.org/10.1101/2020.06.27.175430
Zimmerman MI, Porter JR, Ward MD, Singh S, Vithani N, Meller A, Mallimadugula UL, Kuhn CE, Borowsky JH, Wiewiora RP, Hurley MFD, Harbison AM, Fogarty CA, Coffland JE, Fadda E, Voelz VA, Chodera JD, Bowman GR. SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome. bioRxiv. 2020 Oct 07; doi: 10.1101/2020.06.27.175430. PMID: 32637963; PMCID: PMC7337393.
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Protocol for a prospective double-blind, randomised, placebo-controlled feasibility trial of octreotide infusion during liver transplantation.

BMJ open

Fabes J, Ambler G, Shah B, Williams NR, Martin D, Davidson BR, Spiro M.
PMID: 34857585
BMJ Open. 2021 Dec 02;11(12):e055864. doi: 10.1136/bmjopen-2021-055864.

INTRODUCTION: Liver transplantation is a complex operation that can provide significant improvements in quality of life and survival to the recipients. However, serious complications are common and include major haemorrhage, hypotension and renal failure. Blood transfusion and the development...

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Fabes J, Ambler G, Shah B, et al. Protocol for a prospective double-blind, randomised, placebo-controlled feasibility trial of octreotide infusion during liver transplantation. BMJ Open. 2021;11(12):e055864doi: 10.1136/bmjopen-2021-055864.
Fabes, J., Ambler, G., Shah, B., Williams, N. R., Martin, D., Davidson, B. R., & Spiro, M. (2021). Protocol for a prospective double-blind, randomised, placebo-controlled feasibility trial of octreotide infusion during liver transplantation. BMJ open, 11(12), e055864. https://doi.org/10.1136/bmjopen-2021-055864
Fabes, Jeremy, et al. "Protocol for a prospective double-blind, randomised, placebo-controlled feasibility trial of octreotide infusion during liver transplantation." BMJ open vol. 11,12 (2021): e055864. doi: https://doi.org/10.1136/bmjopen-2021-055864
Fabes J, Ambler G, Shah B, Williams NR, Martin D, Davidson BR, Spiro M. Protocol for a prospective double-blind, randomised, placebo-controlled feasibility trial of octreotide infusion during liver transplantation. BMJ Open. 2021 Dec 02;11(12):e055864. doi: 10.1136/bmjopen-2021-055864. PMID: 34857585.
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Diagnostic reasoning in cardiovascular medicine.

BMJ (Clinical research ed.)

Brush JE, Sherbino J, Norman GR.
PMID: 34987062
BMJ. 2022 Jan 05;376:e064389. doi: 10.1136/bmj-2021-064389.

Research in cognitive psychology shows that expert clinicians make a medical diagnosis through a two step process of hypothesis generation and hypothesis testing. Experts generate a list of possible diagnoses quickly and intuitively, drawing on previous experience. Experts remember...

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Brush JE, Sherbino J, Norman GR. Diagnostic reasoning in cardiovascular medicine. BMJ. 2022;376:e064389doi: 10.1136/bmj-2021-064389.
Brush, J. E., Sherbino, J., & Norman, G. R. (2022). Diagnostic reasoning in cardiovascular medicine. BMJ (Clinical research ed.), 376e064389. https://doi.org/10.1136/bmj-2021-064389
Brush, John E, et al. "Diagnostic reasoning in cardiovascular medicine." BMJ (Clinical research ed.) vol. 376 (2022): e064389. doi: https://doi.org/10.1136/bmj-2021-064389
Brush JE, Sherbino J, Norman GR. Diagnostic reasoning in cardiovascular medicine. BMJ. 2022 Jan 05;376:e064389. doi: 10.1136/bmj-2021-064389. PMID: 34987062.
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Showing 253 to 264 of 640 entries