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The Darwinian workplace.

Harvard business review

Netessine S, Yakubovich V.
PMID: 22571134
Harv Bus Rev. 2012 May;90(5):25-6, 28.

No abstract available.

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Netessine S, Yakubovich V. The Darwinian workplace. Harv Bus Rev. 2012;90(5):25-6, 28
Netessine, S., & Yakubovich, V. (2012). The Darwinian workplace. Harvard business review, 90(5), 25-6, 28.
Netessine, Serguei, and Yakubovich, Valery. "The Darwinian workplace." Harvard business review vol. 90,5 (2012): 25-6, 28.
Netessine S, Yakubovich V. The Darwinian workplace. Harv Bus Rev. 2012 May;90(5):25-6, 28. PMID: 22571134.
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Generative Deep Learning in Digital Pathology Workflows.

The American journal of pathology

Morrison D, Harris-Birtill D, Caie PD.
PMID: 33838127
Am J Pathol. 2021 Oct;191(10):1717-1723. doi: 10.1016/j.ajpath.2021.02.024. Epub 2021 Apr 08.

Many modern histopathology laboratories are in the process of digitizing their workflows. Digitization of tissue images has made it feasible to research the augmentation or automation of clinical reporting and diagnosis. The application of modern computer vision techniques, based...

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Morrison D, Harris-Birtill D, Caie PD. Generative Deep Learning in Digital Pathology Workflows. Am J Pathol. 2021;191(10):1717-1723doi: 10.1016/j.ajpath.2021.02.024.
Morrison, D., Harris-Birtill, D., & Caie, P. D. (2021). Generative Deep Learning in Digital Pathology Workflows. The American journal of pathology, 191(10), 1717-1723. https://doi.org/10.1016/j.ajpath.2021.02.024
Morrison, David, et al. "Generative Deep Learning in Digital Pathology Workflows." The American journal of pathology vol. 191,10 (2021): 1717-1723. doi: https://doi.org/10.1016/j.ajpath.2021.02.024
Morrison D, Harris-Birtill D, Caie PD. Generative Deep Learning in Digital Pathology Workflows. Am J Pathol. 2021 Oct;191(10):1717-1723. doi: 10.1016/j.ajpath.2021.02.024. Epub 2021 Apr 08. PMID: 33838127.
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Modelling treatment-response rates.

Nature biomedical engineering

Grassberger C, Ngwa W.
PMID: 33864036
Nat Biomed Eng. 2021 Apr;5(4):295-296. doi: 10.1038/s41551-021-00717-w.

No abstract available.

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Grassberger C, Ngwa W. Modelling treatment-response rates. Nat Biomed Eng. 2021;5(4):295-296doi: 10.1038/s41551-021-00717-w.
Grassberger, C., & Ngwa, W. (2021). Modelling treatment-response rates. Nature biomedical engineering, 5(4), 295-296. https://doi.org/10.1038/s41551-021-00717-w
Grassberger, Clemens, and Ngwa, Wilfred. "Modelling treatment-response rates." Nature biomedical engineering vol. 5,4 (2021): 295-296. doi: https://doi.org/10.1038/s41551-021-00717-w
Grassberger C, Ngwa W. Modelling treatment-response rates. Nat Biomed Eng. 2021 Apr;5(4):295-296. doi: 10.1038/s41551-021-00717-w. PMID: 33864036; PMCID: PMC8682812.
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On the authenticity of COVID-19 case figures.

PloS one

Kennedy AP, Yam SCP.
PMID: 33290420
PLoS One. 2020 Dec 08;15(12):e0243123. doi: 10.1371/journal.pone.0243123. eCollection 2020.

In this article, we study the applicability of Benford's law and Zipf's law to national COVID-19 case figures with the aim of establishing guidelines upon which methods of fraud detection in epidemiology, based on formal statistical analysis, can be...

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Kennedy AP, Yam SCP. On the authenticity of COVID-19 case figures. PLoS One. 2020;15(12):e0243123doi: 10.1371/journal.pone.0243123.
Kennedy, A. P., & Yam, S. C. P. (2020). On the authenticity of COVID-19 case figures. PloS one, 15(12), e0243123. https://doi.org/10.1371/journal.pone.0243123
Kennedy, Adrian Patrick, and Yam, Sheung Chi Phillip. "On the authenticity of COVID-19 case figures." PloS one vol. 15,12 (2020): e0243123. doi: https://doi.org/10.1371/journal.pone.0243123
Kennedy AP, Yam SCP. On the authenticity of COVID-19 case figures. PLoS One. 2020 Dec 08;15(12):e0243123. doi: 10.1371/journal.pone.0243123. eCollection 2020. PMID: 33290420; PMCID: PMC7723280.
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Data science and precision health care.

Nutrition reviews

Imoto S, Hasegawa T, Yamaguchi R.
PMID: 33259624
Nutr Rev. 2020 Dec 01;78(12):53-57. doi: 10.1093/nutrit/nuaa110.

Precision health care plays a crucial role in an elderly society by providing personalized health care plans for improving an individual's health conditions and preventing disease. To realize precision health care, data science is key; it allows for analyses...

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Imoto S, Hasegawa T, Yamaguchi R. Data science and precision health care. Nutr Rev. 2020;78(12):53-57doi: 10.1093/nutrit/nuaa110.
Imoto, S., Hasegawa, T., & Yamaguchi, R. (2020). Data science and precision health care. Nutrition reviews, 78(12), 53-57. https://doi.org/10.1093/nutrit/nuaa110
Imoto, Seiya, et al. "Data science and precision health care." Nutrition reviews vol. 78,12 (2020): 53-57. doi: https://doi.org/10.1093/nutrit/nuaa110
Imoto S, Hasegawa T, Yamaguchi R. Data science and precision health care. Nutr Rev. 2020 Dec 01;78(12):53-57. doi: 10.1093/nutrit/nuaa110. PMID: 33259624.
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The Humanbecoming Concept Inventing Model: Feeling Ashamed.

Nursing science quarterly

Alanizi AW.
PMID: 33749428
Nurs Sci Q. 2021 Apr;34(2):178-182. doi: 10.1177/0894318420987167.

The scholar in this paper presents a concept inventing model of feeling ashamed. It consists of a literature review across many disciplines, an exploration of many artforms, dialoguing with others, and a distinctive description of feeling ashamed. With the...

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Alanizi AW. The Humanbecoming Concept Inventing Model: Feeling Ashamed. Nurs Sci Q. 2021;34(2):178-182doi: 10.1177/0894318420987167.
Alanizi, A. W. (2021). The Humanbecoming Concept Inventing Model: Feeling Ashamed. Nursing science quarterly, 34(2), 178-182. https://doi.org/10.1177/0894318420987167
Alanizi, Amal W. "The Humanbecoming Concept Inventing Model: Feeling Ashamed." Nursing science quarterly vol. 34,2 (2021): 178-182. doi: https://doi.org/10.1177/0894318420987167
Alanizi AW. The Humanbecoming Concept Inventing Model: Feeling Ashamed. Nurs Sci Q. 2021 Apr;34(2):178-182. doi: 10.1177/0894318420987167. PMID: 33749428.
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The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective.

Bulletin of mathematical biology

Di Lauro F, Berthouze L, Dorey MD, Miller JC, Kiss IZ.
PMID: 34654959
Bull Math Biol. 2021 Oct 15;83(11):117. doi: 10.1007/s11538-021-00947-8.

The contact structure of a population plays an important role in transmission of infection. Many 'structured models' capture aspects of the contact pattern through an underlying network or a mixing matrix. An important observation in unstructured models of a...

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Di Lauro F, Berthouze L, Dorey MD, et al. The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective. Bull Math Biol. 2021;83(11):117doi: 10.1007/s11538-021-00947-8.
Di Lauro, F., Berthouze, L., Dorey, M. D., Miller, J. C., & Kiss, I. Z. (2021). The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective. Bulletin of mathematical biology, 83(11), 117. https://doi.org/10.1007/s11538-021-00947-8
Di Lauro, Francesco, et al. "The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective." Bulletin of mathematical biology vol. 83,11 (2021): 117. doi: https://doi.org/10.1007/s11538-021-00947-8
Di Lauro F, Berthouze L, Dorey MD, Miller JC, Kiss IZ. The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective. Bull Math Biol. 2021 Oct 15;83(11):117. doi: 10.1007/s11538-021-00947-8. PMID: 34654959; PMCID: PMC8518901.
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A growing size synthesis.

Current biology : CB

Spence AJ, Hutchinson JR.
PMID: 22575470
Curr Biol. 2012 May 08;22(9):R309-14. doi: 10.1016/j.cub.2012.03.017. Epub 2012 May 07.

No abstract available.

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Spence AJ, Hutchinson JR. A growing size synthesis. Curr Biol. 2012;22(9):R309-14doi: 10.1016/j.cub.2012.03.017.
Spence, A. J., & Hutchinson, J. R. (2012). A growing size synthesis. Current biology : CB, 22(9), R309-14. https://doi.org/10.1016/j.cub.2012.03.017
Spence, Andrew J, and Hutchinson, John R. "A growing size synthesis." Current biology : CB vol. 22,9 (2012): R309-14. doi: https://doi.org/10.1016/j.cub.2012.03.017
Spence AJ, Hutchinson JR. A growing size synthesis. Curr Biol. 2012 May 08;22(9):R309-14. doi: 10.1016/j.cub.2012.03.017. Epub 2012 May 07. PMID: 22575470.
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Showing 4477 to 4484 of 4484 entries