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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Scientific data

Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA.
PMID: 27326542
Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44.

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain....

Cite
Gorgolewski KJ, Auer T, Calhoun VD, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016;3:160044doi: 10.1038/sdata.2016.44.
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Michael, Z., Maumet, C., Nichols, B. N., Nichols, T. E., Pellman, J., Poline, J. B., Rokem, A., Schaefer, G., Sochat, V., Triplett, W., Turner, J. A., Varoquaux, G., & Poldrack, R. A. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data, 3160044. https://doi.org/10.1038/sdata.2016.44
Gorgolewski, Krzysztof J, et al. "The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments." Scientific data vol. 3 (2016): 160044. doi: https://doi.org/10.1038/sdata.2016.44
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44. PMID: 27326542; PMCID: PMC4978148.
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Ogino et Al. Respond to "the 21st century epidemiologist".

American journal of epidemiology

Ogino S, Beck AH, King EE, Sherman ME, Milner DA, Giovannucci E.
PMID: 22935516
Am J Epidemiol. 2012 Oct 15;176(8):672-4. doi: 10.1093/aje/kws229. Epub 2012 Aug 30.

No abstract available.

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Ogino S, Beck AH, King EE, et al. Ogino et Al. Respond to "the 21st century epidemiologist". Am J Epidemiol. 2012;176(8):672-4doi: 10.1093/aje/kws229.
Ogino, S., Beck, A. H., King, E. E., Sherman, M. E., Milner, D. A., & Giovannucci, E. (2012). Ogino et Al. Respond to "the 21st century epidemiologist". American journal of epidemiology, 176(8), 672-4. https://doi.org/10.1093/aje/kws229
Ogino, Shuji, et al. "Ogino et Al. Respond to "the 21st century epidemiologist"." American journal of epidemiology vol. 176,8 (2012): 672-4. doi: https://doi.org/10.1093/aje/kws229
Ogino S, Beck AH, King EE, Sherman ME, Milner DA, Giovannucci E. Ogino et Al. Respond to "the 21st century epidemiologist". Am J Epidemiol. 2012 Oct 15;176(8):672-4. doi: 10.1093/aje/kws229. Epub 2012 Aug 30. PMID: 22935516; PMCID: PMC3571249.
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Interdisciplinary education to integrate pathology and epidemiology: towards molecular and population-level health science.

American journal of epidemiology

Ogino S, King EE, Beck AH, Sherman ME, Milner DA, Giovannucci E.
PMID: 22935517
Am J Epidemiol. 2012 Oct 15;176(8):659-67. doi: 10.1093/aje/kws226. Epub 2012 Aug 30.

In recent decades, epidemiology, public health, and medical sciences have been increasingly compartmentalized into narrower disciplines. The authors recognize the value of integration of divergent scientific fields in order to create new methods, concepts, paradigms, and knowledge. Herein they...

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Ogino S, King EE, Beck AH, et al. Interdisciplinary education to integrate pathology and epidemiology: towards molecular and population-level health science. Am J Epidemiol. 2012;176(8):659-67doi: 10.1093/aje/kws226.
Ogino, S., King, E. E., Beck, A. H., Sherman, M. E., Milner, D. A., & Giovannucci, E. (2012). Interdisciplinary education to integrate pathology and epidemiology: towards molecular and population-level health science. American journal of epidemiology, 176(8), 659-67. https://doi.org/10.1093/aje/kws226
Ogino, Shuji, et al. "Interdisciplinary education to integrate pathology and epidemiology: towards molecular and population-level health science." American journal of epidemiology vol. 176,8 (2012): 659-67. doi: https://doi.org/10.1093/aje/kws226
Ogino S, King EE, Beck AH, Sherman ME, Milner DA, Giovannucci E. Interdisciplinary education to integrate pathology and epidemiology: towards molecular and population-level health science. Am J Epidemiol. 2012 Oct 15;176(8):659-67. doi: 10.1093/aje/kws226. Epub 2012 Aug 30. PMID: 22935517; PMCID: PMC3571252.
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Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II.

Database : the journal of biological databases and curation

Lu Z, Hirschman L.
PMID: 23160416
Database (Oxford). 2012 Nov 17;2012:bas043. doi: 10.1093/database/bas043. Print 2012.

Manual curation of data from the biomedical literature is a rate-limiting factor for many expert curated databases. Despite the continuing advances in biomedical text mining and the pressing needs of biocurators for better tools, few existing text-mining tools have...

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Lu Z, Hirschman L. Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II. Database (Oxford). 2012;2012:bas043doi: 10.1093/database/bas043.
Lu, Z., & Hirschman, L. (2012). Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II. Database : the journal of biological databases and curation, 2012bas043. https://doi.org/10.1093/database/bas043
Lu, Zhiyong, and Hirschman, Lynette. "Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II." Database : the journal of biological databases and curation vol. 2012 (2012): bas043. doi: https://doi.org/10.1093/database/bas043
Lu Z, Hirschman L. Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II. Database (Oxford). 2012 Nov 17;2012:bas043. doi: 10.1093/database/bas043. Print 2012. PMID: 23160416; PMCID: PMC3500522.
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Multiview confocal super-resolution microscopy.

Nature

Wu Y, Han X, Su Y, Glidewell M, Daniels JS, Liu J, Sengupta T, Rey-Suarez I, Fischer R, Patel A, Combs C, Sun J, Wu X, Christensen R, Smith C, Bao L, Sun Y, Duncan LH, Chen J, Pommier Y, Shi YB, Murphy E, Roy S, Upadhyaya A, Colón-Ramos D, La Riviere P, Shroff H.
PMID: 34837071
Nature. 2021 Dec;600(7888):279-284. doi: 10.1038/s41586-021-04110-0. Epub 2021 Nov 26.

Confocal microscopy

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Wu Y, Han X, Su Y, et al. Multiview confocal super-resolution microscopy. Nature. 2021;600(7888):279-284doi: 10.1038/s41586-021-04110-0.
Wu, Y., Han, X., Su, Y., Glidewell, M., Daniels, J. S., Liu, J., Sengupta, T., Rey-Suarez, I., Fischer, R., Patel, A., Combs, C., Sun, J., Wu, X., Christensen, R., Smith, C., Bao, L., Sun, Y., Duncan, L. H., Chen, J., Pommier, Y., Shi, Y. B., Murphy, E., Roy, S., Upadhyaya, A., Colón-Ramos, D., La Riviere, P., & Shroff, H. (2021). Multiview confocal super-resolution microscopy. Nature, 600(7888), 279-284. https://doi.org/10.1038/s41586-021-04110-0
Wu, Yicong, et al. "Multiview confocal super-resolution microscopy." Nature vol. 600,7888 (2021): 279-284. doi: https://doi.org/10.1038/s41586-021-04110-0
Wu Y, Han X, Su Y, Glidewell M, Daniels JS, Liu J, Sengupta T, Rey-Suarez I, Fischer R, Patel A, Combs C, Sun J, Wu X, Christensen R, Smith C, Bao L, Sun Y, Duncan LH, Chen J, Pommier Y, Shi YB, Murphy E, Roy S, Upadhyaya A, Colón-Ramos D, La Riviere P, Shroff H. Multiview confocal super-resolution microscopy. Nature. 2021 Dec;600(7888):279-284. doi: 10.1038/s41586-021-04110-0. Epub 2021 Nov 26. PMID: 34837071.
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Time to publication among completed clinical trials.

JAMA internal medicine

Ross JS, Mocanu M, Lampropulos JF, Tse T, Krumholz HM.
PMID: 23460252
JAMA Intern Med. 2013 May 13;173(9):825-8. doi: 10.1001/jamainternmed.2013.136.

No abstract available.

Cite
Ross JS, Mocanu M, Lampropulos JF, et al. Time to publication among completed clinical trials. JAMA Intern Med. 2013;173(9):825-8doi: 10.1001/jamainternmed.2013.136.
Ross, J. S., Mocanu, M., Lampropulos, J. F., Tse, T., & Krumholz, H. M. (2013). Time to publication among completed clinical trials. JAMA internal medicine, 173(9), 825-8. https://doi.org/10.1001/jamainternmed.2013.136
Ross, Joseph S, et al. "Time to publication among completed clinical trials." JAMA internal medicine vol. 173,9 (2013): 825-8. doi: https://doi.org/10.1001/jamainternmed.2013.136
Ross JS, Mocanu M, Lampropulos JF, Tse T, Krumholz HM. Time to publication among completed clinical trials. JAMA Intern Med. 2013 May 13;173(9):825-8. doi: 10.1001/jamainternmed.2013.136. PMID: 23460252; PMCID: PMC3691813.
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PathVisio-Validator: a rule-based validation plugin for graphical pathway notations.

Bioinformatics (Oxford, England)

Chandan K, van Iersel MP, Aladjem MI, Kohn KW, Luna A.
PMID: 22199389
Bioinformatics. 2012 Mar 15;28(6):889-90. doi: 10.1093/bioinformatics/btr694. Epub 2011 Dec 22.

PURPOSE: The PathVisio-Validator plugin aims to simplify the task of producing biological pathway diagrams that follow graphical standardized notations, such as Molecular Interaction Maps or the Systems Biology Graphical Notation. This plugin assists in the creation of pathway diagrams...

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Chandan K, van Iersel MP, Aladjem MI, et al. PathVisio-Validator: a rule-based validation plugin for graphical pathway notations. Bioinformatics. 2011;28(6):889-90doi: 10.1093/bioinformatics/btr694.
Chandan, K., van Iersel, M. P., Aladjem, M. I., Kohn, K. W., & Luna, A. (2012). PathVisio-Validator: a rule-based validation plugin for graphical pathway notations. Bioinformatics (Oxford, England), 28(6), 889-90. https://doi.org/10.1093/bioinformatics/btr694
Chandan, Kumar, et al. "PathVisio-Validator: a rule-based validation plugin for graphical pathway notations." Bioinformatics (Oxford, England) vol. 28,6 (2012): 889-90. doi: https://doi.org/10.1093/bioinformatics/btr694
Chandan K, van Iersel MP, Aladjem MI, Kohn KW, Luna A. PathVisio-Validator: a rule-based validation plugin for graphical pathway notations. Bioinformatics. 2012 Mar 15;28(6):889-90. doi: 10.1093/bioinformatics/btr694. Epub 2011 Dec 22. PMID: 22199389; PMCID: PMC3307104.
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The Systems Biology Graphical Notation.

Nature biotechnology

Le Novère N, Hucka M, Mi H, Moodie S, Schreiber F, Sorokin A, Demir E, Wegner K, Aladjem MI, Wimalaratne SM, Bergman FT, Gauges R, Ghazal P, Kawaji H, Li L, Matsuoka Y, Villéger A, Boyd SE, Calzone L, Courtot M, Dogrusoz U, Freeman TC, Funahashi A, Ghosh S, Jouraku A, Kim S, Kolpakov F, Luna A, Sahle S, Schmidt E, Watterson S, Wu G, Goryanin I, Kell DB, Sander C, Sauro H, Snoep JL, Kohn K, Kitano H.
PMID: 19668183
Nat Biotechnol. 2009 Aug;27(8):735-41. doi: 10.1038/nbt.1558. Epub 2009 Aug 07.

Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of...

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Le Novère N, Hucka M, Mi H, et al. The Systems Biology Graphical Notation. Nat Biotechnol. 2009;27(8):735-41doi: 10.1038/nbt.1558.
Le Novère, N., Hucka, M., Mi, H., Moodie, S., Schreiber, F., Sorokin, A., Demir, E., Wegner, K., Aladjem, M. I., Wimalaratne, S. M., Bergman, F. T., Gauges, R., Ghazal, P., Kawaji, H., Li, L., Matsuoka, Y., Villéger, A., Boyd, S. E., Calzone, L., Courtot, M., Dogrusoz, U., Freeman, T. C., Funahashi, A., Ghosh, S., Jouraku, A., Kim, S., Kolpakov, F., Luna, A., Sahle, S., Schmidt, E., Watterson, S., Wu, G., Goryanin, I., Kell, D. B., Sander, C., Sauro, H., Snoep, J. L., Kohn, K., & Kitano, H. (2009). The Systems Biology Graphical Notation. Nature biotechnology, 27(8), 735-41. https://doi.org/10.1038/nbt.1558
Le Novère, Nicolas, et al. "The Systems Biology Graphical Notation." Nature biotechnology vol. 27,8 (2009): 735-41. doi: https://doi.org/10.1038/nbt.1558
Le Novère N, Hucka M, Mi H, Moodie S, Schreiber F, Sorokin A, Demir E, Wegner K, Aladjem MI, Wimalaratne SM, Bergman FT, Gauges R, Ghazal P, Kawaji H, Li L, Matsuoka Y, Villéger A, Boyd SE, Calzone L, Courtot M, Dogrusoz U, Freeman TC, Funahashi A, Ghosh S, Jouraku A, Kim S, Kolpakov F, Luna A, Sahle S, Schmidt E, Watterson S, Wu G, Goryanin I, Kell DB, Sander C, Sauro H, Snoep JL, Kohn K, Kitano H. The Systems Biology Graphical Notation. Nat Biotechnol. 2009 Aug;27(8):735-41. doi: 10.1038/nbt.1558. Epub 2009 Aug 07. PMID: 19668183.
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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Scientific data

Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA.
PMID: 27326542
Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44.

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain....

Cite
Gorgolewski KJ, Auer T, Calhoun VD, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016;3:160044doi: 10.1038/sdata.2016.44.
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Michael, Z., Maumet, C., Nichols, B. N., Nichols, T. E., Pellman, J., Poline, J. B., Rokem, A., Schaefer, G., Sochat, V., Triplett, W., Turner, J. A., Varoquaux, G., & Poldrack, R. A. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data, 3160044. https://doi.org/10.1038/sdata.2016.44
Gorgolewski, Krzysztof J, et al. "The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments." Scientific data vol. 3 (2016): 160044. doi: https://doi.org/10.1038/sdata.2016.44
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44. PMID: 27326542; PMCID: PMC4978148.
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Eosinophils are part of the granulocyte response in tuberculosis and promote host resistance in mice.

The Journal of experimental medicine

Bohrer AC, Castro E, Hu Z, Queiroz ATL, Tocheny CE, Assmann M, Sakai S, Nelson C, Baker PJ, Ma H, Wang L, Zilu W, du Bruyn E, Riou C, Kauffman KD, Moore IN, Del Nonno F, Petrone L, Goletti D, Martineau AR, Lowe DM, Cronan MR, Wilkinson RJ, Barry CE, Via LE, Barber DL, Klion AD, Andrade BB, Song Y, Wong KW, Mayer-Barber KD.
PMID: 34347010
J Exp Med. 2021 Oct 04;218(10). doi: 10.1084/jem.20210469. Epub 2021 Aug 04.

Host resistance to Mycobacterium tuberculosis (Mtb) infection requires the activities of multiple leukocyte subsets, yet the roles of the different innate effector cells during tuberculosis are incompletely understood. Here we uncover an unexpected association between eosinophils and Mtb infection....

Cite
Bohrer AC, Castro E, Hu Z, et al. Eosinophils are part of the granulocyte response in tuberculosis and promote host resistance in mice. J Exp Med. 2021;218(10)doi: 10.1084/jem.20210469.
Bohrer, A. C., Castro, E., Hu, Z., Queiroz, A. T. L., Tocheny, C. E., Assmann, M., Sakai, S., Nelson, C., Baker, P. J., Ma, H., Wang, L., Zilu, W., du Bruyn, E., Riou, C., Kauffman, K. D., Moore, I. N., Del Nonno, F., Petrone, L., Goletti, D., Martineau, A. R., Lowe, D. M., Cronan, M. R., Wilkinson, R. J., Barry, C. E., Via, L. E., Barber, D. L., Klion, A. D., Andrade, B. B., Song, Y., Wong, K. W., & Mayer-Barber, K. D. (2021). Eosinophils are part of the granulocyte response in tuberculosis and promote host resistance in mice. The Journal of experimental medicine, 218(10), . https://doi.org/10.1084/jem.20210469
Bohrer, Andrea C, et al. "Eosinophils are part of the granulocyte response in tuberculosis and promote host resistance in mice." The Journal of experimental medicine vol. 218,10 (2021). doi: https://doi.org/10.1084/jem.20210469
Bohrer AC, Castro E, Hu Z, Queiroz ATL, Tocheny CE, Assmann M, Sakai S, Nelson C, Baker PJ, Ma H, Wang L, Zilu W, du Bruyn E, Riou C, Kauffman KD, Moore IN, Del Nonno F, Petrone L, Goletti D, Martineau AR, Lowe DM, Cronan MR, Wilkinson RJ, Barry CE, Via LE, Barber DL, Klion AD, Andrade BB, Song Y, Wong KW, Mayer-Barber KD. Eosinophils are part of the granulocyte response in tuberculosis and promote host resistance in mice. J Exp Med. 2021 Oct 04;218(10). doi: 10.1084/jem.20210469. Epub 2021 Aug 04. PMID: 34347010; PMCID: PMC8348215.
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Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis.

Journal of the American Medical Informatics Association : JAMIA

Fung KW, Xu J, McConnell-Lamptey S, Pickett D, Bodenreider O.
PMID: 34383897
J Am Med Inform Assoc. 2021 Oct 12;28(11):2404-2411. doi: 10.1093/jamia/ocab156.

OBJECTIVE: The study sought to assess the feasibility of replacing the International Classification of Diseases-Tenth Revision-Clinical Modification (ICD-10-CM) with the International Classification of Diseases-11th Revision (ICD-11) for morbidity coding based on content analysis.MATERIALS AND METHODS: The most frequently used...

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Fung KW, Xu J, McConnell-Lamptey S, et al. Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis. J Am Med Inform Assoc. 2021;28(11):2404-2411doi: 10.1093/jamia/ocab156.
Fung, K. W., Xu, J., McConnell-Lamptey, S., Pickett, D., & Bodenreider, O. (2021). Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis. Journal of the American Medical Informatics Association : JAMIA, 28(11), 2404-2411. https://doi.org/10.1093/jamia/ocab156
Fung, Kin Wah, et al. "Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis." Journal of the American Medical Informatics Association : JAMIA vol. 28,11 (2021): 2404-2411. doi: https://doi.org/10.1093/jamia/ocab156
Fung KW, Xu J, McConnell-Lamptey S, Pickett D, Bodenreider O. Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis. J Am Med Inform Assoc. 2021 Oct 12;28(11):2404-2411. doi: 10.1093/jamia/ocab156. PMID: 34383897; PMCID: PMC8510319.
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Meeting report: moving upstream-evaluating adverse upstream end points for improved risk assessment and decision-making.

Environmental health perspectives

Woodruff TJ, Zeise L, Axelrad DA, Guyton KZ, Janssen S, Miller M, Miller GG, Schwartz JM, Alexeeff G, Anderson H, Birnbaum L, Bois F, Cogliano VJ, Crofton K, Euling SY, Foster PM, Germolec DR, Gray E, Hattis DB, Kyle AD, Luebke RW, Luster MI, Portier C, Rice DC, Solomon G, Vandenberg J, Zoeller RT.
PMID: 19057713
Environ Health Perspect. 2008 Nov;116(11):1568-75. doi: 10.1289/ehp.11516. Epub 2008 Jul 10.

BACKGROUND: Assessing adverse effects from environmental chemical exposure is integral to public health policies. Toxicology assays identifying early biological changes from chemical exposure are increasing our ability to evaluate links between early biological disturbances and subsequent overt downstream effects....

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Woodruff TJ, Zeise L, Axelrad DA, et al. Meeting report: moving upstream-evaluating adverse upstream end points for improved risk assessment and decision-making. Environ Health Perspect. 2008;116(11):1568-75doi: 10.1289/ehp.11516.
Woodruff, T. J., Zeise, L., Axelrad, D. A., Guyton, K. Z., Janssen, S., Miller, M., Miller, G. G., Schwartz, J. M., Alexeeff, G., Anderson, H., Birnbaum, L., Bois, F., Cogliano, V. J., Crofton, K., Euling, S. Y., Foster, P. M., Germolec, D. R., Gray, E., Hattis, D. B., Kyle, A. D., Luebke, R. W., Luster, M. I., Portier, C., Rice, D. C., Solomon, G., Vandenberg, J., & Zoeller, R. T. (2008). Meeting report: moving upstream-evaluating adverse upstream end points for improved risk assessment and decision-making. Environmental health perspectives, 116(11), 1568-75. https://doi.org/10.1289/ehp.11516
Woodruff, Tracey J, et al. "Meeting report: moving upstream-evaluating adverse upstream end points for improved risk assessment and decision-making." Environmental health perspectives vol. 116,11 (2008): 1568-75. doi: https://doi.org/10.1289/ehp.11516
Woodruff TJ, Zeise L, Axelrad DA, Guyton KZ, Janssen S, Miller M, Miller GG, Schwartz JM, Alexeeff G, Anderson H, Birnbaum L, Bois F, Cogliano VJ, Crofton K, Euling SY, Foster PM, Germolec DR, Gray E, Hattis DB, Kyle AD, Luebke RW, Luster MI, Portier C, Rice DC, Solomon G, Vandenberg J, Zoeller RT. Meeting report: moving upstream-evaluating adverse upstream end points for improved risk assessment and decision-making. Environ Health Perspect. 2008 Nov;116(11):1568-75. doi: 10.1289/ehp.11516. Epub 2008 Jul 10. PMID: 19057713; PMCID: PMC2592280.
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Showing 1 to 12 of 23 entries