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Are the management objectives for hospital physicians ethical?.

Revista clinica espanola

Alonso MB, Pacios E, Herreros B.
PMID: 30055755
Rev Clin Esp (Barc). 2019 Mar;219(2):90-95. doi: 10.1016/j.rce.2018.06.002. Epub 2018 Jul 25.

Management objectives at times create significant value conflicts that have so far been seldom studied. This article analyses the ethical issues created by the operational objectives of management for physicians who work in Spanish hospitals. These issues are as...

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Alonso MB, Pacios E, Herreros B. ¿Son éticos los objetivos de gestión para los médicos de nuestros hospitales? Are the management objectives for hospital physicians ethical?. Rev Clin Esp (Barc). 2018;219(2):90-95doi: 10.1016/j.rce.2018.06.002.
Alonso, M. B., Pacios, E., & Herreros, B. (2019). ¿Son éticos los objetivos de gestión para los médicos de nuestros hospitales? Are the management objectives for hospital physicians ethical?. Revista clinica espanola, 219(2), 90-95. https://doi.org/10.1016/j.rce.2018.06.002
Alonso, M B, et al. "¿Son éticos los objetivos de gestión para los médicos de nuestros hospitales?" Are the management objectives for hospital physicians ethical?. Revista clinica espanola vol. 219,2 (2019): 90-95. doi: https://doi.org/10.1016/j.rce.2018.06.002
Alonso MB, Pacios E, Herreros B. ¿Son éticos los objetivos de gestión para los médicos de nuestros hospitales? Are the management objectives for hospital physicians ethical?. Rev Clin Esp (Barc). 2019 Mar;219(2):90-95. doi: 10.1016/j.rce.2018.06.002. Epub 2018 Jul 25. Spanish. PMID: 30055755.
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Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements.

Sensors (Basel, Switzerland)

Arroyo P, Meléndez F, Suárez JI, Herrero JL, Rodríguez S, Lozano J.
PMID: 32023974
Sensors (Basel). 2020 Jan 31;20(3). doi: 10.3390/s20030786.

This paper introduces a miniaturized personal electronic nose (39 mm × 33 mm), which is managed through an app developed on a smartphone. The electronic nose (e-nose) incorporates four new generation digital gas sensors. These MOx-type sensors incorporate a...

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Arroyo P, Meléndez F, Suárez JI, et al. Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements. Sensors (Basel). 2020;20(3)doi: 10.3390/s20030786.
Arroyo, P., Meléndez, F., Suárez, J. I., Herrero, J. L., Rodríguez, S., & Lozano, J. (2020). Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements. Sensors (Basel, Switzerland), 20(3), . https://doi.org/10.3390/s20030786
Arroyo, Patricia, et al. "Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements." Sensors (Basel, Switzerland) vol. 20,3 (2020). doi: https://doi.org/10.3390/s20030786
Arroyo P, Meléndez F, Suárez JI, Herrero JL, Rodríguez S, Lozano J. Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements. Sensors (Basel). 2020 Jan 31;20(3). doi: 10.3390/s20030786. PMID: 32023974; PMCID: PMC7038395.
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Key factors controlling microbial distribution on a DNAPL source area.

Environmental science and pollution research international

Herrero J, Puigserver D, Nijenhuis I, Kuntze K, Carmona JM.
PMID: 34355320
Environ Sci Pollut Res Int. 2022 Jan;29(1):1508-1520. doi: 10.1007/s11356-021-15635-2. Epub 2021 Aug 05.

Chlorinated solvents are among the common groundwater contaminants that show high complexity in their distribution in the subsoil. Microorganisms play a vital role in the natural attenuation of chlorinated solvents. Thus far, how the in situ soil microbial community...

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Herrero J, Puigserver D, Nijenhuis I, et al. Key factors controlling microbial distribution on a DNAPL source area. Environ Sci Pollut Res Int. 2021;29(1):1508-1520doi: 10.1007/s11356-021-15635-2.
Herrero, J., Puigserver, D., Nijenhuis, I., Kuntze, K., & Carmona, J. M. (2022). Key factors controlling microbial distribution on a DNAPL source area. Environmental science and pollution research international, 29(1), 1508-1520. https://doi.org/10.1007/s11356-021-15635-2
Herrero, Jofre, et al. "Key factors controlling microbial distribution on a DNAPL source area." Environmental science and pollution research international vol. 29,1 (2022): 1508-1520. doi: https://doi.org/10.1007/s11356-021-15635-2
Herrero J, Puigserver D, Nijenhuis I, Kuntze K, Carmona JM. Key factors controlling microbial distribution on a DNAPL source area. Environ Sci Pollut Res Int. 2022 Jan;29(1):1508-1520. doi: 10.1007/s11356-021-15635-2. Epub 2021 Aug 05. PMID: 34355320.
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Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure.

Journal of molecular graphics & modelling

Li R, Herreros JM, Tsolakis A, Yang W.
PMID: 34837786
J Mol Graph Model. 2021 Nov 22;111:108083. doi: 10.1016/j.jmgm.2021.108083. Epub 2021 Nov 22.

Soot formation models become increasingly important in advanced renewable fuels formulation for soot reduction benefit. This work evaluates performance of machine learning (ML) and deep learning (DL) to predict yield sooting index (YSI) from chemical structure and proposes a...

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Li R, Herreros JM, Tsolakis A, et al. Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. J Mol Graph Model. 2021;111:108083doi: 10.1016/j.jmgm.2021.108083.
Li, R., Herreros, J. M., Tsolakis, A., & Yang, W. (2021). Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. Journal of molecular graphics & modelling, 111108083. https://doi.org/10.1016/j.jmgm.2021.108083
Li, Runzhao, et al. "Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure." Journal of molecular graphics & modelling vol. 111 (2021): 108083. doi: https://doi.org/10.1016/j.jmgm.2021.108083
Li R, Herreros JM, Tsolakis A, Yang W. Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. J Mol Graph Model. 2021 Nov 22;111:108083. doi: 10.1016/j.jmgm.2021.108083. Epub 2021 Nov 22. PMID: 34837786.
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Standard versus extended primary cytomegalovirus prophylaxis in solid organ transplantation.

Medicina clinica

Serrano-Alonso M, Martín-Moreno P, Rábago G, Guillén-Grima F, Herrero JI, Fernández-Alonso M.
PMID: 34353627
Med Clin (Barc). 2021 Aug 02; doi: 10.1016/j.medcli.2021.05.023. Epub 2021 Aug 02.

BACKGROUND AND OBJECTIVE: We compared the efficacy and safety of standard vs. extended primary cytomegalovirus (CMV) prophylaxis in solid organ transplantation.MATERIALS AND METHODS: Retrospective cohort study of CMV seronegative recipients who received CMV prophylaxis after solid organ transplantation from...

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Serrano-Alonso M, Martín-Moreno P, Rábago G, et al. Profilaxis primaria estándar versus prolongada de la infección por citomegalovirus en el trasplante de órgano sólido. Standard versus extended primary cytomegalovirus prophylaxis in solid organ transplantation. Med Clin (Barc). 2021;doi: 10.1016/j.medcli.2021.05.023.
Serrano-Alonso, M., Martín-Moreno, P., Rábago, G., Guillén-Grima, F., Herrero, J. I., & Fernández-Alonso, M. (2021). Profilaxis primaria estándar versus prolongada de la infección por citomegalovirus en el trasplante de órgano sólido. Standard versus extended primary cytomegalovirus prophylaxis in solid organ transplantation. Medicina clinica, . https://doi.org/10.1016/j.medcli.2021.05.023
Serrano-Alonso, María, et al. "Profilaxis primaria estándar versus prolongada de la infección por citomegalovirus en el trasplante de órgano sólido." Standard versus extended primary cytomegalovirus prophylaxis in solid organ transplantation. Medicina clinica vol. (2021). doi: https://doi.org/10.1016/j.medcli.2021.05.023
Serrano-Alonso M, Martín-Moreno P, Rábago G, Guillén-Grima F, Herrero JI, Fernández-Alonso M. Profilaxis primaria estándar versus prolongada de la infección por citomegalovirus en el trasplante de órgano sólido. Standard versus extended primary cytomegalovirus prophylaxis in solid organ transplantation. Med Clin (Barc). 2021 Aug 02; doi: 10.1016/j.medcli.2021.05.023. Epub 2021 Aug 02. Spanish. PMID: 34353627.
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Targeting T-type channels in cancer: What is on and what is off?.

Drug discovery today

Visa A, Alza L, Casas-Benito A, Herreros J, Cantí C.
PMID: 34838727
Drug Discov Today. 2021 Nov 24; doi: 10.1016/j.drudis.2021.11.021. Epub 2021 Nov 24.

Over the past 20 years, various studies have demonstrated a pivotal role of T-type calcium channels (TTCCs) in tumor progression. Cytotoxic effects of TTCC pharmacological blockers have been reported in vitro and in preclinical models. However, their roles in...

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Visa A, Alza L, Casas-Benito A, et al. Targeting T-type channels in cancer: What is on and what is off?. Drug Discov Today. 2021;doi: 10.1016/j.drudis.2021.11.021.
Visa, A., Alza, L., Casas-Benito, A., Herreros, J., & Cantí, C. (2021). Targeting T-type channels in cancer: What is on and what is off?. Drug discovery today, . https://doi.org/10.1016/j.drudis.2021.11.021
Visa, Anna, et al. "Targeting T-type channels in cancer: What is on and what is off?." Drug discovery today vol. (2021). doi: https://doi.org/10.1016/j.drudis.2021.11.021
Visa A, Alza L, Casas-Benito A, Herreros J, Cantí C. Targeting T-type channels in cancer: What is on and what is off?. Drug Discov Today. 2021 Nov 24; doi: 10.1016/j.drudis.2021.11.021. Epub 2021 Nov 24. PMID: 34838727.
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Data supporting the soil salinity evolution appraisals in the Flumen irrigation district, NE Spain.

Data in brief

Herrero J, Castañeda C.
PMID: 34136601
Data Brief. 2021 May 28;37:107171. doi: 10.1016/j.dib.2021.107171. eCollection 2021 Aug.

The dataset presented comprises (raw data) scans of the marked paper contact prints from a dedicated photogrammetric flight and a diagram showing the location of each of these photograms. The flight was commissioned specifically for the soil survey presented...

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Herrero J, Castañeda C. Data supporting the soil salinity evolution appraisals in the Flumen irrigation district, NE Spain. Data Brief. 2021;37:107171doi: 10.1016/j.dib.2021.107171.
Herrero, J., & Castañeda, C. (2021). Data supporting the soil salinity evolution appraisals in the Flumen irrigation district, NE Spain. Data in brief, 37107171. https://doi.org/10.1016/j.dib.2021.107171
Herrero, Juan, and Castañeda, Carmen. "Data supporting the soil salinity evolution appraisals in the Flumen irrigation district, NE Spain." Data in brief vol. 37 (2021): 107171. doi: https://doi.org/10.1016/j.dib.2021.107171
Herrero J, Castañeda C. Data supporting the soil salinity evolution appraisals in the Flumen irrigation district, NE Spain. Data Brief. 2021 May 28;37:107171. doi: 10.1016/j.dib.2021.107171. eCollection 2021 Aug. PMID: 34136601; PMCID: PMC8181785.
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The T cell differentiation landscape is shaped by tumour mutations in lung cancer.

Nature cancer

Ghorani E, Reading JL, Henry JY, de Massy MR, Rosenthal R, Turati V, Joshi K, Furness AJS, Aissa AB, Saini SK, Ramskov S, Georgiou A, Sunderland MW, Wong YNS, De Mucha MV, Day W, Galvez-Cancino F, Becker PD, Uddin I, Ismail M, Ronel T, Woolston A, Jamal-Hanjani M, Veeriah S, Birkbak NJ, Wilson GA, Litchfield K, Conde L, Guerra-Assunção JA, Blighe K, Biswas D, Salgado R, Lund T, Al Bakir M, Moore DA, Hiley CT, Loi S, Sun Y, Yuan Y, AbdulJabbar K, Turajilic S, Herrero J, Enver T, Hadrup SR, Hackshaw A, Peggs KS, McGranahan N, Chain B, Swanton C, Quezada SA.
PMID: 32803172
Nat Cancer. 2020 May;1(5):546-561. doi: 10.1038/s43018-020-0066-y. Epub 2020 May 22.

Tumour mutational burden (TMB) predicts immunotherapy outcome in non-small cell lung cancer (NSCLC), consistent with immune recognition of tumour neoantigens. However, persistent antigen exposure is detrimental for T cell function. How TMB affects CD4 and CD8 T cell differentiation...

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Ghorani E, Reading JL, Henry JY, et al. The T cell differentiation landscape is shaped by tumour mutations in lung cancer. Nat Cancer. 2020;1(5):546-561doi: 10.1038/s43018-020-0066-y.
Ghorani, E., Reading, J. L., Henry, J. Y., de Massy, M. R., Rosenthal, R., Turati, V., Joshi, K., Furness, A. J. S., Aissa, A. B., Saini, S. K., Ramskov, S., Georgiou, A., Sunderland, M. W., Wong, Y. N. S., De Mucha, M. V., Day, W., Galvez-Cancino, F., Becker, P. D., Uddin, I., Ismail, M., Ronel, T., Woolston, A., Jamal-Hanjani, M., Veeriah, S., Birkbak, N. J., Wilson, G. A., Litchfield, K., Conde, L., Guerra-Assunção, J. A., Blighe, K., Biswas, D., Salgado, R., Lund, T., Al Bakir, M., Moore, D. A., Hiley, C. T., Loi, S., Sun, Y., Yuan, Y., AbdulJabbar, K., Turajilic, S., Herrero, J., Enver, T., Hadrup, S. R., Hackshaw, A., Peggs, K. S., McGranahan, N., Chain, B., Swanton, C., & Quezada, S. A. (2020). The T cell differentiation landscape is shaped by tumour mutations in lung cancer. Nature cancer, 1(5), 546-561. https://doi.org/10.1038/s43018-020-0066-y
Ghorani, Ehsan, et al. "The T cell differentiation landscape is shaped by tumour mutations in lung cancer." Nature cancer vol. 1,5 (2020): 546-561. doi: https://doi.org/10.1038/s43018-020-0066-y
Ghorani E, Reading JL, Henry JY, de Massy MR, Rosenthal R, Turati V, Joshi K, Furness AJS, Aissa AB, Saini SK, Ramskov S, Georgiou A, Sunderland MW, Wong YNS, De Mucha MV, Day W, Galvez-Cancino F, Becker PD, Uddin I, Ismail M, Ronel T, Woolston A, Jamal-Hanjani M, Veeriah S, Birkbak NJ, Wilson GA, Litchfield K, Conde L, Guerra-Assunção JA, Blighe K, Biswas D, Salgado R, Lund T, Al Bakir M, Moore DA, Hiley CT, Loi S, Sun Y, Yuan Y, AbdulJabbar K, Turajilic S, Herrero J, Enver T, Hadrup SR, Hackshaw A, Peggs KS, McGranahan N, Chain B, Swanton C, Quezada SA. The T cell differentiation landscape is shaped by tumour mutations in lung cancer. Nat Cancer. 2020 May;1(5):546-561. doi: 10.1038/s43018-020-0066-y. Epub 2020 May 22. PMID: 32803172; PMCID: PMC7115931.
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Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure.

Journal of molecular graphics & modelling

Li R, Herreros JM, Tsolakis A, Yang W.
PMID: 34837786
J Mol Graph Model. 2021 Nov 22;111:108083. doi: 10.1016/j.jmgm.2021.108083. Epub 2021 Nov 22.

Soot formation models become increasingly important in advanced renewable fuels formulation for soot reduction benefit. This work evaluates performance of machine learning (ML) and deep learning (DL) to predict yield sooting index (YSI) from chemical structure and proposes a...

Cite
Li R, Herreros JM, Tsolakis A, et al. Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. J Mol Graph Model. 2021;111:108083doi: 10.1016/j.jmgm.2021.108083.
Li, R., Herreros, J. M., Tsolakis, A., & Yang, W. (2021). Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. Journal of molecular graphics & modelling, 111108083. https://doi.org/10.1016/j.jmgm.2021.108083
Li, Runzhao, et al. "Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure." Journal of molecular graphics & modelling vol. 111 (2021): 108083. doi: https://doi.org/10.1016/j.jmgm.2021.108083
Li R, Herreros JM, Tsolakis A, Yang W. Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure. J Mol Graph Model. 2021 Nov 22;111:108083. doi: 10.1016/j.jmgm.2021.108083. Epub 2021 Nov 22. PMID: 34837786.
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Which are the most prevalent ethical conflicts for Spanish internists?.

Revista clinica espanola

Blanco Portillo A, García-Caballero R, Real de Asúa D, Herreros B.
PMID: 32650946
Rev Clin Esp. 2020 Jul 07; doi: 10.1016/j.rce.2020.05.011. Epub 2020 Jul 07.

BACKGROUND AND OBJECTIVE: Clinicians face a multitude of ethical conflicts in their daily practice. There have been no studies on the types of ethical conflicts encountered most frequently and that are of most concern to clinicians in Spain. The...

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Blanco Portillo A, García-Caballero R, Real de Asúa D, et al. ¿Cuáles son los conflictos éticos más frecuentes para los internistas españoles? Which are the most prevalent ethical conflicts for Spanish internists?. Rev Clin Esp. 2020;doi: 10.1016/j.rce.2020.05.011.
Blanco Portillo, A., García-Caballero, R., Real de Asúa, D., & Herreros, B. (2020). ¿Cuáles son los conflictos éticos más frecuentes para los internistas españoles? Which are the most prevalent ethical conflicts for Spanish internists?. Revista clinica espanola, . https://doi.org/10.1016/j.rce.2020.05.011
Blanco Portillo, A, et al. "¿Cuáles son los conflictos éticos más frecuentes para los internistas españoles?" Which are the most prevalent ethical conflicts for Spanish internists?. Revista clinica espanola vol. (2020). doi: https://doi.org/10.1016/j.rce.2020.05.011
Blanco Portillo A, García-Caballero R, Real de Asúa D, Herreros B. ¿Cuáles son los conflictos éticos más frecuentes para los internistas españoles? Which are the most prevalent ethical conflicts for Spanish internists?. Rev Clin Esp. 2020 Jul 07; doi: 10.1016/j.rce.2020.05.011. Epub 2020 Jul 07. Spanish. PMID: 32650946; PMCID: PMC7340392.
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Natural killer cell receptors and ligand variants modulate response to tyrosine kinase inhibitors in patients with chronic myeloid leukemia.

HLA

Closa L, Xicoy B, Zamora L, Estrada N, Colomer D, Herrero MJ, Vidal F, Alvarez-Larrán A, Caro JL.
PMID: 34921518
HLA. 2021 Dec 17; doi: 10.1111/tan.14515. Epub 2021 Dec 17.

Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm treated with tyrosine kinase inhibitors (TKIs). Although survival rates have improved, response to these treatments is highly heterogeneous. Variations in response rates may be due to different causes such as, treatment...

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Closa L, Xicoy B, Zamora L, et al. Natural killer cell receptors and ligand variants modulate response to tyrosine kinase inhibitors in patients with chronic myeloid leukemia. HLA. 2021;doi: 10.1111/tan.14515.
Closa, L., Xicoy, B., Zamora, L., Estrada, N., Colomer, D., Herrero, M. J., Vidal, F., Alvarez-Larrán, A., & Caro, J. L. (2021). Natural killer cell receptors and ligand variants modulate response to tyrosine kinase inhibitors in patients with chronic myeloid leukemia. HLA, . https://doi.org/10.1111/tan.14515
Closa, Laia, et al. "Natural killer cell receptors and ligand variants modulate response to tyrosine kinase inhibitors in patients with chronic myeloid leukemia." HLA vol. (2021). doi: https://doi.org/10.1111/tan.14515
Closa L, Xicoy B, Zamora L, Estrada N, Colomer D, Herrero MJ, Vidal F, Alvarez-Larrán A, Caro JL. Natural killer cell receptors and ligand variants modulate response to tyrosine kinase inhibitors in patients with chronic myeloid leukemia. HLA. 2021 Dec 17; doi: 10.1111/tan.14515. Epub 2021 Dec 17. PMID: 34921518.
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Author Correction: G-tract RNA removes Polycomb repressive complex 2 from genes.

Nature structural & molecular biology

Beltran M, Tavares M, Justin N, Khandelwal G, Ambrose J, Foster BM, Worlock KB, Tvardovskiy A, Kunzelmann S, Herrero J, Bartke T, Gamblin SJ, Wilson JR, Jenner RG.
PMID: 31695189
Nat Struct Mol Biol. 2019 Dec;26(12):1184-1186. doi: 10.1038/s41594-019-0341-8.

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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Beltran M, Tavares M, Justin N, et al. Author Correction: G-tract RNA removes Polycomb repressive complex 2 from genes. Nat Struct Mol Biol. 2019;26(12):1184-1186doi: 10.1038/s41594-019-0341-8.
Beltran, M., Tavares, M., Justin, N., Khandelwal, G., Ambrose, J., Foster, B. M., Worlock, K. B., Tvardovskiy, A., Kunzelmann, S., Herrero, J., Bartke, T., Gamblin, S. J., Wilson, J. R., & Jenner, R. G. (2019). Author Correction: G-tract RNA removes Polycomb repressive complex 2 from genes. Nature structural & molecular biology, 26(12), 1184-1186. https://doi.org/10.1038/s41594-019-0341-8
Beltran, Manuel, et al. "Author Correction: G-tract RNA removes Polycomb repressive complex 2 from genes." Nature structural & molecular biology vol. 26,12 (2019): 1184-1186. doi: https://doi.org/10.1038/s41594-019-0341-8
Beltran M, Tavares M, Justin N, Khandelwal G, Ambrose J, Foster BM, Worlock KB, Tvardovskiy A, Kunzelmann S, Herrero J, Bartke T, Gamblin SJ, Wilson JR, Jenner RG. Author Correction: G-tract RNA removes Polycomb repressive complex 2 from genes. Nat Struct Mol Biol. 2019 Dec;26(12):1184-1186. doi: 10.1038/s41594-019-0341-8. PMID: 31695189.
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Showing 25 to 36 of 231 entries