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Verification of stereospecific dyotropic racemisation of enantiopure D and L-1,2-dibromo-1,2-diphenylethane in non-polar media.

Chemical communications (Cambridge, England)

Braddock DC, Roy D, Lenoir D, Moore E, Rzepa HS, Wu JI, Schleyer Pv.
PMID: 22847632
Chem Commun (Camb). 2012 Sep 14;48(71):8943-5. doi: 10.1039/c2cc33676f. Epub 2012 Jul 30.

The first example of a dyotropic rearrangement of an enantiomerically pure, conformationally unconstrained, vicinal dibromide confirms theoretical predictions: D and L-1,2-dibromo-1,2-diphenylethane racemise stereospecifically in refluxing benzene without crossover to the meso-isomer. An orbital analysis of this six-electron pericyclic process...

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Braddock DC, Roy D, Lenoir D, et al. Verification of stereospecific dyotropic racemisation of enantiopure D and L-1,2-dibromo-1,2-diphenylethane in non-polar media. Chem Commun (Camb). 2012;48(71):8943-5doi: 10.1039/c2cc33676f.
Braddock, D. C., Roy, D., Lenoir, D., Moore, E., Rzepa, H. S., Wu, J. I., & Schleyer, P. v. (2012). Verification of stereospecific dyotropic racemisation of enantiopure D and L-1,2-dibromo-1,2-diphenylethane in non-polar media. Chemical communications (Cambridge, England), 48(71), 8943-5. https://doi.org/10.1039/c2cc33676f
Braddock, D Christopher, et al. "Verification of stereospecific dyotropic racemisation of enantiopure D and L-1,2-dibromo-1,2-diphenylethane in non-polar media." Chemical communications (Cambridge, England) vol. 48,71 (2012): 8943-5. doi: https://doi.org/10.1039/c2cc33676f
Braddock DC, Roy D, Lenoir D, Moore E, Rzepa HS, Wu JI, Schleyer Pv. Verification of stereospecific dyotropic racemisation of enantiopure D and L-1,2-dibromo-1,2-diphenylethane in non-polar media. Chem Commun (Camb). 2012 Sep 14;48(71):8943-5. doi: 10.1039/c2cc33676f. Epub 2012 Jul 30. PMID: 22847632.
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APOL1 Kidney-Risk Variants Induce Mitochondrial Fission .

Kidney international reports

Ma L, Ainsworth HC, Snipes JA, Murea M, Choi YA, Langefeld CD, Parks JS, Bharadwaj MS, Chou JW, Hemal AK, Petrovic S, Craddock AL, Cheng D, Hawkins GA, Miller LD, Hicks PJ, Saleem MA, Divers J, Molina AJA, Freedman BI.
PMID: 32518871
Kidney Int Rep. 2020 Mar 30;5(6):891-904. doi: 10.1016/j.ekir.2020.03.020. eCollection 2020 Jun.

CONCLUSION: Results suggest the mitochondrial fusion/fission pathway may be a therapeutic target in

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Ma L, Ainsworth HC, Snipes JA, et al. APOL1 Kidney-Risk Variants Induce Mitochondrial Fission . Kidney Int Rep. 2020;5(6):891-904doi: 10.1016/j.ekir.2020.03.020.
Ma, L., Ainsworth, H. C., Snipes, J. A., Murea, M., Choi, Y. A., Langefeld, C. D., Parks, J. S., Bharadwaj, M. S., Chou, J. W., Hemal, A. K., Petrovic, S., Craddock, A. L., Cheng, D., Hawkins, G. A., Miller, L. D., Hicks, P. J., Saleem, M. A., Divers, J., Molina, A. J. A., & Freedman, B. I. (2020). APOL1 Kidney-Risk Variants Induce Mitochondrial Fission . Kidney international reports, 5(6), 891-904. https://doi.org/10.1016/j.ekir.2020.03.020
Ma, Lijun, et al. "APOL1 Kidney-Risk Variants Induce Mitochondrial Fission ." Kidney international reports vol. 5,6 (2020): 891-904. doi: https://doi.org/10.1016/j.ekir.2020.03.020
Ma L, Ainsworth HC, Snipes JA, Murea M, Choi YA, Langefeld CD, Parks JS, Bharadwaj MS, Chou JW, Hemal AK, Petrovic S, Craddock AL, Cheng D, Hawkins GA, Miller LD, Hicks PJ, Saleem MA, Divers J, Molina AJA, Freedman BI. APOL1 Kidney-Risk Variants Induce Mitochondrial Fission . Kidney Int Rep. 2020 Mar 30;5(6):891-904. doi: 10.1016/j.ekir.2020.03.020. eCollection 2020 Jun. PMID: 32518871; PMCID: PMC7271005.
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Numerical corrections of Wu's coefficients for scattering of high-frequency waves from spheres and cylinders.

Physical review letters

Braddock RD, Gottlieb HP, Hogarth WL, Lisle IG, Parlange J, Parlange MB, Rand RH.
PMID: 10032385
Phys Rev Lett. 1985 Aug 05;55(6):555-557. doi: 10.1103/PhysRevLett.55.555.

No abstract available.

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Braddock RD, Gottlieb HP, Hogarth WL, et al. Numerical corrections of Wu's coefficients for scattering of high-frequency waves from spheres and cylinders. Phys Rev Lett. 1985;55(6):555-557doi: 10.1103/PhysRevLett.55.555.
Braddock, R. D., Gottlieb, H. P., Hogarth, W. L., Lisle, I. G., Parlange, J., Parlange, M. B., & Rand, R. H. (1985). Numerical corrections of Wu's coefficients for scattering of high-frequency waves from spheres and cylinders. Physical review letters, 55(6), 555-557. https://doi.org/10.1103/PhysRevLett.55.555
Braddock, et al. "Numerical corrections of Wu's coefficients for scattering of high-frequency waves from spheres and cylinders." Physical review letters vol. 55,6 (1985): 555-557. doi: https://doi.org/10.1103/PhysRevLett.55.555
Braddock RD, Gottlieb HP, Hogarth WL, Lisle IG, Parlange J, Parlange MB, Rand RH. Numerical corrections of Wu's coefficients for scattering of high-frequency waves from spheres and cylinders. Phys Rev Lett. 1985 Aug 05;55(6):555-557. doi: 10.1103/PhysRevLett.55.555. PMID: 10032385.
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Kinetic Benchmarking Reveals the Competence of Prenyl Groups in Ring-Closing Metathesis.

Organic letters

Bahou KA, Braddock DC, Meyer AG, Savage GP.
PMID: 28933551
Org Lett. 2017 Oct 06;19(19):5332-5335. doi: 10.1021/acs.orglett.7b02492. Epub 2017 Sep 21.

A series of prenyl-containing malonates are kinetically benchmarked against the standard allyl-containing congeners using a ruthenium benzylidene precatalyst for ring-closing metatheses. The prenyl grouping is found to be a superior acceptor olefin compared to an allyl group in RCM...

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Bahou KA, Braddock DC, Meyer AG, et al. Kinetic Benchmarking Reveals the Competence of Prenyl Groups in Ring-Closing Metathesis. Org Lett. 2017;19(19):5332-5335doi: 10.1021/acs.orglett.7b02492.
Bahou, K. A., Braddock, D. C., Meyer, A. G., & Savage, G. P. (2017). Kinetic Benchmarking Reveals the Competence of Prenyl Groups in Ring-Closing Metathesis. Organic letters, 19(19), 5332-5335. https://doi.org/10.1021/acs.orglett.7b02492
Bahou, Karim A, et al. "Kinetic Benchmarking Reveals the Competence of Prenyl Groups in Ring-Closing Metathesis." Organic letters vol. 19,19 (2017): 5332-5335. doi: https://doi.org/10.1021/acs.orglett.7b02492
Bahou KA, Braddock DC, Meyer AG, Savage GP. Kinetic Benchmarking Reveals the Competence of Prenyl Groups in Ring-Closing Metathesis. Org Lett. 2017 Oct 06;19(19):5332-5335. doi: 10.1021/acs.orglett.7b02492. Epub 2017 Sep 21. PMID: 28933551.
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Mutational analysis of disease relapse in patients allografted for acute myeloid leukemia.

Blood advances

Quek L, Ferguson P, Metzner M, Ahmed I, Kennedy A, Garnett C, Jeffries S, Walter C, Piechocki K, Timbs A, Danby R, Raghavan M, Peniket A, Griffiths M, Bacon A, Ward J, Wheatley K, Vyas P, Craddock C.
PMID: 29296935
Blood Adv. 2016 Dec 14;1(3):193-204. doi: 10.1182/bloodadvances.2016000760. eCollection 2016 Dec 27.

Disease relapse is the major cause of treatment failure after allogeneic stem cell transplantation (allo-SCT) in acute myeloid leukemia (AML). To identify AML-associated genes prognostic of AML relapse post-allo-SCT, we resequenced 35 genes in 113 adults at diagnosis, 49...

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Quek L, Ferguson P, Metzner M, et al. Mutational analysis of disease relapse in patients allografted for acute myeloid leukemia. Blood Adv. 2016;1(3):193-204doi: 10.1182/bloodadvances.2016000760.
Quek, L., Ferguson, P., Metzner, M., Ahmed, I., Kennedy, A., Garnett, C., Jeffries, S., Walter, C., Piechocki, K., Timbs, A., Danby, R., Raghavan, M., Peniket, A., Griffiths, M., Bacon, A., Ward, J., Wheatley, K., Vyas, P., & Craddock, C. (2016). Mutational analysis of disease relapse in patients allografted for acute myeloid leukemia. Blood advances, 1(3), 193-204. https://doi.org/10.1182/bloodadvances.2016000760
Quek, Lynn, et al. "Mutational analysis of disease relapse in patients allografted for acute myeloid leukemia." Blood advances vol. 1,3 (2016): 193-204. doi: https://doi.org/10.1182/bloodadvances.2016000760
Quek L, Ferguson P, Metzner M, Ahmed I, Kennedy A, Garnett C, Jeffries S, Walter C, Piechocki K, Timbs A, Danby R, Raghavan M, Peniket A, Griffiths M, Bacon A, Ward J, Wheatley K, Vyas P, Craddock C. Mutational analysis of disease relapse in patients allografted for acute myeloid leukemia. Blood Adv. 2016 Dec 14;1(3):193-204. doi: 10.1182/bloodadvances.2016000760. eCollection 2016 Dec 27. PMID: 29296935; PMCID: PMC5737177.
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The number of CD56.

Blood advances

Maggs L, Kinsella F, Chan YLT, Eldershaw S, Murray D, Nunnick J, Bird J, Craddock C, Zuo J, Malladi R, Moss P.
PMID: 29296800
Blood Adv. 2017 Aug 21;1(19):1589-1597. doi: 10.1182/bloodadvances.2017008631. eCollection 2017 Aug 22.

The graft-versus-leukemia (GVL) effect of allogeneic hemopoietic stem cell transplantation (allo-HSCT) is mediated by the donor immune system and acts to decrease the rate of disease relapse. Although studies of posttransplant immune reconstitution have identified correlates of clinical outcome,...

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Maggs L, Kinsella F, Chan YLT, et al. The number of CD56. Blood Adv. 2017;1(19):1589-1597doi: 10.1182/bloodadvances.2017008631.
Maggs, L., Kinsella, F., Chan, Y. L. T., Eldershaw, S., Murray, D., Nunnick, J., Bird, J., Craddock, C., Zuo, J., Malladi, R., & Moss, P. (2017). The number of CD56. Blood advances, 1(19), 1589-1597. https://doi.org/10.1182/bloodadvances.2017008631
Maggs, Luke, et al. "The number of CD56." Blood advances vol. 1,19 (2017): 1589-1597. doi: https://doi.org/10.1182/bloodadvances.2017008631
Maggs L, Kinsella F, Chan YLT, Eldershaw S, Murray D, Nunnick J, Bird J, Craddock C, Zuo J, Malladi R, Moss P. The number of CD56. Blood Adv. 2017 Aug 21;1(19):1589-1597. doi: 10.1182/bloodadvances.2017008631. eCollection 2017 Aug 22. PMID: 29296800; PMCID: PMC5728471.
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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?.

Human brain mapping

Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan JN, Hendler T, Cohen Kadosh K, Zich C, MacInnes J, Adcock RA, Dickerson K, Chen NK, Young K, Bodurka J, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Emmert K, Haller S, Van De Ville D, Blefari ML, Kim DY, Lee JH, Marins T, Fukuda M, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F.
PMID: 32729652
Hum Brain Mapp. 2020 Oct 01;41(14):3839-3854. doi: 10.1002/hbm.25089. Epub 2020 Jul 30.

Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time fMRI neurofeedback studies report large inter-individual differences in learning success. The...

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Haugg A, Sladky R, Skouras S, et al. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?. Hum Brain Mapp. 2020;41(14):3839-3854doi: 10.1002/hbm.25089.
Haugg, A., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Kirschner, M., Herdener, M., Koush, Y., Papoutsi, M., Keynan, J. N., Hendler, T., Cohen Kadosh, K., Zich, C., MacInnes, J., Adcock, R. A., Dickerson, K., Chen, N. K., Young, K., Bodurka, J., Yao, S., Becker, B., Auer, T., Schweizer, R., Pamplona, G., Emmert, K., Haller, S., Van De Ville, D., Blefari, M. L., Kim, D. Y., Lee, J. H., Marins, T., Fukuda, M., Sorger, B., Kamp, T., Liew, S. L., Veit, R., Spetter, M., Weiskopf, N., & Scharnowski, F. (2020). Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?. Human brain mapping, 41(14), 3839-3854. https://doi.org/10.1002/hbm.25089
Haugg, Amelie, et al. "Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?." Human brain mapping vol. 41,14 (2020): 3839-3854. doi: https://doi.org/10.1002/hbm.25089
Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan JN, Hendler T, Cohen Kadosh K, Zich C, MacInnes J, Adcock RA, Dickerson K, Chen NK, Young K, Bodurka J, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Emmert K, Haller S, Van De Ville D, Blefari ML, Kim DY, Lee JH, Marins T, Fukuda M, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?. Hum Brain Mapp. 2020 Oct 01;41(14):3839-3854. doi: 10.1002/hbm.25089. Epub 2020 Jul 30. PMID: 32729652; PMCID: PMC7469782.
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Cytogenetic risk classification maintains its prognostic significance in transplanted FLT3-ITD mutated acute myeloid leukemia patients: On behalf of the acute leukemia working party/European society of blood and marrow transplantation.

American journal of hematology

Nagler A, Labopin M, Craddock C, Socié G, Yakoub-Agha I, Gedde-Dahl T, Niittyvuopio R, Byrne JL, Cornelissen JJ, Labussière-Wallet H, Arcese W, Milpied N, Esteve J, Canaani J, Mohty M.
PMID: 34978724
Am J Hematol. 2022 Jan 03; doi: 10.1002/ajh.26442. Epub 2022 Jan 03.

FMS-like tyrosine kinase 3 internal tandem duplication (FLT3-ITD) mutational status is a pivotal prognosticator in acute myeloid leukemia (AML) patients and significantly increases the risk of disease relapse. However, it remains unclear whether in FLT3-ITD patients referred for allogeneic...

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Nagler A, Labopin M, Craddock C, et al. Cytogenetic risk classification maintains its prognostic significance in transplanted FLT3-ITD mutated acute myeloid leukemia patients: On behalf of the acute leukemia working party/European society of blood and marrow transplantation. Am J Hematol. 2022;doi: 10.1002/ajh.26442.
Nagler, A., Labopin, M., Craddock, C., Socié, G., Yakoub-Agha, I., Gedde-Dahl, T., Niittyvuopio, R., Byrne, J. L., Cornelissen, J. J., Labussière-Wallet, H., Arcese, W., Milpied, N., Esteve, J., Canaani, J., & Mohty, M. (2022). Cytogenetic risk classification maintains its prognostic significance in transplanted FLT3-ITD mutated acute myeloid leukemia patients: On behalf of the acute leukemia working party/European society of blood and marrow transplantation. American journal of hematology, . https://doi.org/10.1002/ajh.26442
Nagler, Arnon, et al. "Cytogenetic risk classification maintains its prognostic significance in transplanted FLT3-ITD mutated acute myeloid leukemia patients: On behalf of the acute leukemia working party/European society of blood and marrow transplantation." American journal of hematology vol. (2022). doi: https://doi.org/10.1002/ajh.26442
Nagler A, Labopin M, Craddock C, Socié G, Yakoub-Agha I, Gedde-Dahl T, Niittyvuopio R, Byrne JL, Cornelissen JJ, Labussière-Wallet H, Arcese W, Milpied N, Esteve J, Canaani J, Mohty M. Cytogenetic risk classification maintains its prognostic significance in transplanted FLT3-ITD mutated acute myeloid leukemia patients: On behalf of the acute leukemia working party/European society of blood and marrow transplantation. Am J Hematol. 2022 Jan 03; doi: 10.1002/ajh.26442. Epub 2022 Jan 03. PMID: 34978724.
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Closing the Word-Problem Achievement Gap in First Grade: Schema-Based Word-Problem Intervention with Embedded Language Comprehension Instruction.

Journal of educational psychology

Fuchs LS, Seethaler PM, Sterba SK, Craddock C, Fuchs D, Compton DL, Geary DC, Changas P.
PMID: 33776137
J Educ Psychol. 2021 Jan;113(1):86-103. doi: 10.1037/edu0000467. Epub 2020 Feb 27.

The main purpose of this study was to test the effects of word-problem intervention, with versus without embedded language comprehension instruction, on at-risk 1

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Fuchs LS, Seethaler PM, Sterba SK, et al. Closing the Word-Problem Achievement Gap in First Grade: Schema-Based Word-Problem Intervention with Embedded Language Comprehension Instruction. J Educ Psychol. 2020;113(1):86-103doi: 10.1037/edu0000467.
Fuchs, L. S., Seethaler, P. M., Sterba, S. K., Craddock, C., Fuchs, D., Compton, D. L., Geary, D. C., & Changas, P. (2021). Closing the Word-Problem Achievement Gap in First Grade: Schema-Based Word-Problem Intervention with Embedded Language Comprehension Instruction. Journal of educational psychology, 113(1), 86-103. https://doi.org/10.1037/edu0000467
Fuchs, Lynn S, et al. "Closing the Word-Problem Achievement Gap in First Grade: Schema-Based Word-Problem Intervention with Embedded Language Comprehension Instruction." Journal of educational psychology vol. 113,1 (2021): 86-103. doi: https://doi.org/10.1037/edu0000467
Fuchs LS, Seethaler PM, Sterba SK, Craddock C, Fuchs D, Compton DL, Geary DC, Changas P. Closing the Word-Problem Achievement Gap in First Grade: Schema-Based Word-Problem Intervention with Embedded Language Comprehension Instruction. J Educ Psychol. 2021 Jan;113(1):86-103. doi: 10.1037/edu0000467. Epub 2020 Feb 27. PMID: 33776137; PMCID: PMC7989819.
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Genomic Analysis of Antimicrobial Resistance Genotype-to-Phenotype Agreement in .

Microorganisms

Domanovich-Asor T, Motro Y, Khalfin B, Craddock HA, Peretz A, Moran-Gilad J.
PMID: 33374988
Microorganisms. 2020 Dec 22;9(1). doi: 10.3390/microorganisms9010002.

Antimicrobial resistance (AMR) in

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Domanovich-Asor T, Motro Y, Khalfin B, et al. Genomic Analysis of Antimicrobial Resistance Genotype-to-Phenotype Agreement in . Microorganisms. 2020;9(1)doi: 10.3390/microorganisms9010002.
Domanovich-Asor, T., Motro, Y., Khalfin, B., Craddock, H. A., Peretz, A., & Moran-Gilad, J. (2020). Genomic Analysis of Antimicrobial Resistance Genotype-to-Phenotype Agreement in . Microorganisms, 9(1), . https://doi.org/10.3390/microorganisms9010002
Domanovich-Asor, Tal, et al. "Genomic Analysis of Antimicrobial Resistance Genotype-to-Phenotype Agreement in ." Microorganisms vol. 9,1 (2020). doi: https://doi.org/10.3390/microorganisms9010002
Domanovich-Asor T, Motro Y, Khalfin B, Craddock HA, Peretz A, Moran-Gilad J. Genomic Analysis of Antimicrobial Resistance Genotype-to-Phenotype Agreement in . Microorganisms. 2020 Dec 22;9(1). doi: 10.3390/microorganisms9010002. PMID: 33374988; PMCID: PMC7822022.
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Tunable Three-Body Loss in a Nonlinear Rydberg Medium.

Physical review letters

Ornelas-Huerta DP, Bienias P, Craddock AN, Gullans MJ, Hachtel AJ, Kalinowski M, Lyon ME, Gorshkov AV, Rolston SL, Porto JV.
PMID: 33988429
Phys Rev Lett. 2021 Apr 30;126(17):173401. doi: 10.1103/PhysRevLett.126.173401.

Long-range Rydberg interactions, in combination with electromagnetically induced transparency (EIT), give rise to strongly interacting photons where the strength, sign, and form of the interactions are widely tunable and controllable. Such control can be applied to both coherent and...

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Ornelas-Huerta DP, Bienias P, Craddock AN, et al. Tunable Three-Body Loss in a Nonlinear Rydberg Medium. Phys Rev Lett. 2021;126(17):173401doi: 10.1103/PhysRevLett.126.173401.
Ornelas-Huerta, D. P., Bienias, P., Craddock, A. N., Gullans, M. J., Hachtel, A. J., Kalinowski, M., Lyon, M. E., Gorshkov, A. V., Rolston, S. L., & Porto, J. V. (2021). Tunable Three-Body Loss in a Nonlinear Rydberg Medium. Physical review letters, 126(17), 173401. https://doi.org/10.1103/PhysRevLett.126.173401
Ornelas-Huerta, D P, et al. "Tunable Three-Body Loss in a Nonlinear Rydberg Medium." Physical review letters vol. 126,17 (2021): 173401. doi: https://doi.org/10.1103/PhysRevLett.126.173401
Ornelas-Huerta DP, Bienias P, Craddock AN, Gullans MJ, Hachtel AJ, Kalinowski M, Lyon ME, Gorshkov AV, Rolston SL, Porto JV. Tunable Three-Body Loss in a Nonlinear Rydberg Medium. Phys Rev Lett. 2021 Apr 30;126(17):173401. doi: 10.1103/PhysRevLett.126.173401. PMID: 33988429.
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Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients.

Bone marrow transplantation

Spyridonidis A, Labopin M, Savani BN, Niittyvuopio R, Blaise D, Craddock C, Socié G, Platzbecker U, Beelen D, Milpied N, Cornelissen JJ, Ganser A, Huynh A, Griskevicius L, Giebel S, Aljurf M, Brissot E, Malard F, Esteve J, Peric Z, Baron F, Ruggeri A, Schmid C, Gilleece M, Gorin NC, Lanza F, Shouval R, Versluis J, Bug G, Fløisand Y, Ciceri F, Sanz J, Bazarbachi A, Nagler A, Mohty M.
PMID: 32144364
Bone Marrow Transplant. 2020 Jun;55(6):1213. doi: 10.1038/s41409-020-0835-3.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Spyridonidis A, Labopin M, Savani BN, et al. Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone Marrow Transplant. 2020;55(6):1213doi: 10.1038/s41409-020-0835-3.
Spyridonidis, A., Labopin, M., Savani, B. N., Niittyvuopio, R., Blaise, D., Craddock, C., Socié, G., Platzbecker, U., Beelen, D., Milpied, N., Cornelissen, J. J., Ganser, A., Huynh, A., Griskevicius, L., Giebel, S., Aljurf, M., Brissot, E., Malard, F., Esteve, J., Peric, Z., Baron, F., Ruggeri, A., Schmid, C., Gilleece, M., Gorin, N. C., Lanza, F., Shouval, R., Versluis, J., Bug, G., Fløisand, Y., Ciceri, F., Sanz, J., Bazarbachi, A., Nagler, A., & Mohty, M. (2020). Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone marrow transplantation, 55(6), 1213. https://doi.org/10.1038/s41409-020-0835-3
Spyridonidis, Alexandros, et al. "Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients." Bone marrow transplantation vol. 55,6 (2020): 1213. doi: https://doi.org/10.1038/s41409-020-0835-3
Spyridonidis A, Labopin M, Savani BN, Niittyvuopio R, Blaise D, Craddock C, Socié G, Platzbecker U, Beelen D, Milpied N, Cornelissen JJ, Ganser A, Huynh A, Griskevicius L, Giebel S, Aljurf M, Brissot E, Malard F, Esteve J, Peric Z, Baron F, Ruggeri A, Schmid C, Gilleece M, Gorin NC, Lanza F, Shouval R, Versluis J, Bug G, Fløisand Y, Ciceri F, Sanz J, Bazarbachi A, Nagler A, Mohty M. Correction: Redefining and measuring transplant conditioning intensity in current era: a study in acute myeloid leukemia patients. Bone Marrow Transplant. 2020 Jun;55(6):1213. doi: 10.1038/s41409-020-0835-3. PMID: 32144364.
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