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How should tomorrow's nurses be prepared?.

ANPHI papers

Sotejo JV.
PMID: 5196182
ANPHI Pap. 1968 Jul-Sep;3(3):2-4.

No abstract available.

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Sotejo JV. How should tomorrow's nurses be prepared?. ANPHI Pap. 1968;3(3):2-4
Sotejo, J. V. (1968). How should tomorrow's nurses be prepared?. ANPHI papers, 3(3), 2-4.
Sotejo, J V. "How should tomorrow's nurses be prepared?." ANPHI papers vol. 3,3 (1968): 2-4.
Sotejo JV. How should tomorrow's nurses be prepared?. ANPHI Pap. 1968 Jul-Sep;3(3):2-4. PMID: 5196182.
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Influence of quinacrine and chloroquine on the in vitro 3'-azido-3'-deoxythymidine antiretroviral effect.

AIDS research and therapy

Torres KJ, Reyes-Terán G, Sotelo J, Jung-Cook H, Aguirre-Cruz L.
PMID: 25788967
AIDS Res Ther. 2015 Mar 19;12:7. doi: 10.1186/s12981-015-0048-9. eCollection 2015.

BACKGROUND: Antimalarials quinacrine (Qc) and chloroquine (Cq) intercalate DNA, potentiate the activity of other drugs and have lysosomotropic, anti-inflammatory and antiviral activities that could increase the effect of the 3'-azido-3'-deoxythymidine (AZT) antiretroviral agent. The aim of the current study...

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Torres KJ, Reyes-Terán G, Sotelo J, et al. Influence of quinacrine and chloroquine on the in vitro 3'-azido-3'-deoxythymidine antiretroviral effect. AIDS Res Ther. 2015;12:7doi: 10.1186/s12981-015-0048-9.
Torres, K. J., Reyes-Terán, G., Sotelo, J., Jung-Cook, H., & Aguirre-Cruz, L. (2015). Influence of quinacrine and chloroquine on the in vitro 3'-azido-3'-deoxythymidine antiretroviral effect. AIDS research and therapy, 127. https://doi.org/10.1186/s12981-015-0048-9
Torres, Klintsy J, et al. "Influence of quinacrine and chloroquine on the in vitro 3'-azido-3'-deoxythymidine antiretroviral effect." AIDS research and therapy vol. 12 (2015): 7. doi: https://doi.org/10.1186/s12981-015-0048-9
Torres KJ, Reyes-Terán G, Sotelo J, Jung-Cook H, Aguirre-Cruz L. Influence of quinacrine and chloroquine on the in vitro 3'-azido-3'-deoxythymidine antiretroviral effect. AIDS Res Ther. 2015 Mar 19;12:7. doi: 10.1186/s12981-015-0048-9. eCollection 2015. PMID: 25788967; PMCID: PMC4364635.
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Clinical presentation and magnetic resonance findings in sellar tuberculomas.

Case reports in medicine

Bonifacio-Delgadillo D, Aburto-Murrieta Y, Salinas-Lara C, Sotelo J, Montes-Mojarro I, Garcia-Marquez A.
PMID: 25114688
Case Rep Med. 2014;2014:961913. doi: 10.1155/2014/961913. Epub 2014 Jul 09.

Background and Importance. Sellar tuberculomas are extremely rare lesions with nonspecific clinical manifestations. The tuberculous infection of the pituitary gland and sellar region is characterized by the presence of an acute or chronic inflammatory reaction and may occur in...

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Bonifacio-Delgadillo D, Aburto-Murrieta Y, Salinas-Lara C, et al. Clinical presentation and magnetic resonance findings in sellar tuberculomas. Case Rep Med. 2014;2014:961913doi: 10.1155/2014/961913.
Bonifacio-Delgadillo, D., Aburto-Murrieta, Y., Salinas-Lara, C., Sotelo, J., Montes-Mojarro, I., & Garcia-Marquez, A. (2014). Clinical presentation and magnetic resonance findings in sellar tuberculomas. Case reports in medicine, 2014961913. https://doi.org/10.1155/2014/961913
Bonifacio-Delgadillo, Dulce, et al. "Clinical presentation and magnetic resonance findings in sellar tuberculomas." Case reports in medicine vol. 2014 (2014): 961913. doi: https://doi.org/10.1155/2014/961913
Bonifacio-Delgadillo D, Aburto-Murrieta Y, Salinas-Lara C, Sotelo J, Montes-Mojarro I, Garcia-Marquez A. Clinical presentation and magnetic resonance findings in sellar tuberculomas. Case Rep Med. 2014;2014:961913. doi: 10.1155/2014/961913. Epub 2014 Jul 09. PMID: 25114688; PMCID: PMC4119910.
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New trends in curricula for schools of nursing.

The Canadian nurse

SOTEJO JV.
PMID: 13116106
Can Nurse. 1953 Dec;49(12):929-32.

No abstract available.

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SOTEJO JV. New trends in curricula for schools of nursing. Can Nurse. 1953;49(12):929-32
SOTEJO, J. V. (1953). New trends in curricula for schools of nursing. The Canadian nurse, 49(12), 929-32.
SOTEJO, J V. "New trends in curricula for schools of nursing." The Canadian nurse vol. 49,12 (1953): 929-32.
SOTEJO JV. New trends in curricula for schools of nursing. Can Nurse. 1953 Dec;49(12):929-32. PMID: 13116106.
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Coupled multipolar interactions in small-particle metallic clusters.

Journal of the Optical Society of America. A, Optics, image science, and vision

Pustovit VN, Sotelo JA, Niklasson GA.
PMID: 11876315
J Opt Soc Am A Opt Image Sci Vis. 2002 Mar;19(3):513-8. doi: 10.1364/josaa.19.000513.

We propose a new formalism for computing the optical properties of small clusters of particles. It is a generalization of the coupled dipole-dipole particle-interaction model and allows one in principle to take into account all multipolar interactions in the...

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Pustovit VN, Sotelo JA, Niklasson GA. Coupled multipolar interactions in small-particle metallic clusters. J Opt Soc Am A Opt Image Sci Vis. 2002;19(3):513-8doi: 10.1364/josaa.19.000513.
Pustovit, V. N., Sotelo, J. A., & Niklasson, G. A. (2002). Coupled multipolar interactions in small-particle metallic clusters. Journal of the Optical Society of America. A, Optics, image science, and vision, 19(3), 513-8. https://doi.org/10.1364/josaa.19.000513
Pustovit, Vitaly N, et al. "Coupled multipolar interactions in small-particle metallic clusters." Journal of the Optical Society of America. A, Optics, image science, and vision vol. 19,3 (2002): 513-8. doi: https://doi.org/10.1364/josaa.19.000513
Pustovit VN, Sotelo JA, Niklasson GA. Coupled multipolar interactions in small-particle metallic clusters. J Opt Soc Am A Opt Image Sci Vis. 2002 Mar;19(3):513-8. doi: 10.1364/josaa.19.000513. PMID: 11876315.
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Structure-Activity relationship in mutated pyrazinamidases from Mycobacterium tuberculosis.

Bioinformation

Quiliano M, Gutierrez AH, Gilman RH, López C, Evangelista W, Sotelo J, Sheen P, Zimic M.
PMID: 21814390
Bioinformation. 2011;6(9):335-9. doi: 10.6026/97320630006335. Epub 2011 Jul 19.

The pncA gene codes the pyrazinamidase of Mycobacterium tuberculosis, which converts pyrazinamide to ammonia and pyrazinoic-acid, the active antituberculous compound. Pyrazinamidase mutations are associated to pyrazinamide-resistant phenotype, however how mutations affect the structure of the pyrazinamidase, and how structural...

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Quiliano M, Gutierrez AH, Gilman RH, et al. Structure-Activity relationship in mutated pyrazinamidases from Mycobacterium tuberculosis. Bioinformation. 2011;6(9):335-9doi: 10.6026/97320630006335.
Quiliano, M., Gutierrez, A. H., Gilman, R. H., López, C., Evangelista, W., Sotelo, J., Sheen, P., & Zimic, M. (2011). Structure-Activity relationship in mutated pyrazinamidases from Mycobacterium tuberculosis. Bioinformation, 6(9), 335-9. https://doi.org/10.6026/97320630006335
Quiliano, Miguel, et al. "Structure-Activity relationship in mutated pyrazinamidases from Mycobacterium tuberculosis." Bioinformation vol. 6,9 (2011): 335-9. doi: https://doi.org/10.6026/97320630006335
Quiliano M, Gutierrez AH, Gilman RH, López C, Evangelista W, Sotelo J, Sheen P, Zimic M. Structure-Activity relationship in mutated pyrazinamidases from Mycobacterium tuberculosis. Bioinformation. 2011;6(9):335-9. doi: 10.6026/97320630006335. Epub 2011 Jul 19. PMID: 21814390; PMCID: PMC3143395.
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The hydrokinetic parameters of shunts for hydrocephalus might be inadequate.

Surgical neurology international

Sotelo J.
PMID: 22530174
Surg Neurol Int. 2012;3:40. doi: 10.4103/2152-7806.94292. Epub 2012 Mar 24.

Long-term treatment of hydrocephalus continues to be dismal. Shunting is the neurosurgical procedure more frequently associated with complications, which are mostly related with dysfunctions of the shunting device, rather than to mishaps of the rather simple surgical procedure. Overdrainage...

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Sotelo J. The hydrokinetic parameters of shunts for hydrocephalus might be inadequate. Surg Neurol Int. 2012;3:40doi: 10.4103/2152-7806.94292.
Sotelo, J. (2012). The hydrokinetic parameters of shunts for hydrocephalus might be inadequate. Surgical neurology international, 340. https://doi.org/10.4103/2152-7806.94292
Sotelo, Julio. "The hydrokinetic parameters of shunts for hydrocephalus might be inadequate." Surgical neurology international vol. 3 (2012): 40. doi: https://doi.org/10.4103/2152-7806.94292
Sotelo J. The hydrokinetic parameters of shunts for hydrocephalus might be inadequate. Surg Neurol Int. 2012;3:40. doi: 10.4103/2152-7806.94292. Epub 2012 Mar 24. PMID: 22530174; PMCID: PMC3326986.
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[What can doctors do to moderate healthcare costs?].

Gaceta medica de Mexico

Lifshitz A, Celis MÁ, Moreno M, Gas HA, Halabe J, Jasso L, Arrieta Ó, Burgos R, Campillo C, de la Llata M, Domínguez J, Islas S, Plancarte R, Reyes A, Soda A, Verásteguio E, Sotelo J.
PMID: 28474699
Gac Med Mex. 2017 Mar - Apr;153(2):151.

Los costos de la atención médica pueden alcanzar niveles tales que marginen a algunos pacientes de los beneficios del avance científico y tecnológico. Las razones de estos elevados costos son diversas y en la mayoría de los casos no...

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Lifshitz A, Celis MÁ, Moreno M, et al. ¿Qué podemos hacer los médicos para moderar los costos de la atención médica? [What can doctors do to moderate healthcare costs?]. Gac Med Mex. 2017;153(2):151
Lifshitz, A., Celis, M. �. �., Moreno, M., Gas, H. A., Halabe, J., Jasso, L., Arrieta, �. �., Burgos, R., Campillo, C., de la Llata, M., Domínguez, J., Islas, S., Plancarte, R., Reyes, A., Soda, A., Verásteguio, E., & Sotelo, J. (2017). ¿Qué podemos hacer los médicos para moderar los costos de la atención médica? [What can doctors do to moderate healthcare costs?]. Gaceta medica de Mexico, 153(2), 151.
Lifshitz, Alberto, et al. "¿Qué podemos hacer los médicos para moderar los costos de la atención médica?" [What can doctors do to moderate healthcare costs?]. Gaceta medica de Mexico vol. 153,2 (2017): 151.
Lifshitz A, Celis MÁ, Moreno M, Gas HA, Halabe J, Jasso L, Arrieta Ó, Burgos R, Campillo C, de la Llata M, Domínguez J, Islas S, Plancarte R, Reyes A, Soda A, Verásteguio E, Sotelo J. ¿Qué podemos hacer los médicos para moderar los costos de la atención médica? [What can doctors do to moderate healthcare costs?]. Gac Med Mex. 2017 Mar - Apr;153(2):151. Spanish. PMID: 28474699.
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Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning.

Computers in biology and medicine

Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S.
PMID: 34929463
Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16.

Recent advances in medical imaging have confirmed the presence of altered hemodynamics in bicuspid aortic valve (BAV) patients. Therefore, there is a need for new hemodynamic biomarkers to refine disease monitoring and improve patient risk stratification. This research aims...

Cite
Franco P, Sotelo J, Guala A, et al. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021;141:105147doi: 10.1016/j.compbiomed.2021.105147.
Franco, P., Sotelo, J., Guala, A., Dux-Santoy, L., Evangelista, A., Rodríguez-Palomares, J., Mery, D., Salas, R., & Uribe, S. (2021). Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Computers in biology and medicine, 141105147. https://doi.org/10.1016/j.compbiomed.2021.105147
Franco, Pamela, et al. "Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning." Computers in biology and medicine vol. 141 (2021): 105147. doi: https://doi.org/10.1016/j.compbiomed.2021.105147
Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16. PMID: 34929463.
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Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy.

Journal of cardiovascular translational research

Marlevi D, Mariscal-Harana J, Burris NS, Sotelo J, Ruijsink B, Hadjicharalambous M, Asner L, Sammut E, Chabiniok R, Uribe S, Winter R, Lamata P, Alastruey J, Nordsletten D.
PMID: 34882286
J Cardiovasc Transl Res. 2021 Dec 09; doi: 10.1007/s12265-021-10181-1. Epub 2021 Dec 09.

Ventricular-vascular interaction is central in the adaptation to cardiovascular disease. However, cardiomyopathy patients are predominantly monitored using cardiac biomarkers. The aim of this study is therefore to explore aortic function in dilated cardiomyopathy (DCM). Fourteen idiopathic DCM patients and...

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Marlevi D, Mariscal-Harana J, Burris NS, et al. Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy. J Cardiovasc Transl Res. 2021;doi: 10.1007/s12265-021-10181-1.
Marlevi, D., Mariscal-Harana, J., Burris, N. S., Sotelo, J., Ruijsink, B., Hadjicharalambous, M., Asner, L., Sammut, E., Chabiniok, R., Uribe, S., Winter, R., Lamata, P., Alastruey, J., & Nordsletten, D. (2021). Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy. Journal of cardiovascular translational research, . https://doi.org/10.1007/s12265-021-10181-1
Marlevi, David, et al. "Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy." Journal of cardiovascular translational research vol. (2021). doi: https://doi.org/10.1007/s12265-021-10181-1
Marlevi D, Mariscal-Harana J, Burris NS, Sotelo J, Ruijsink B, Hadjicharalambous M, Asner L, Sammut E, Chabiniok R, Uribe S, Winter R, Lamata P, Alastruey J, Nordsletten D. Altered Aortic Hemodynamics and Relative Pressure in Patients with Dilated Cardiomyopathy. J Cardiovasc Transl Res. 2021 Dec 09; doi: 10.1007/s12265-021-10181-1. Epub 2021 Dec 09. PMID: 34882286.
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Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning.

Computers in biology and medicine

Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S.
PMID: 34929463
Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16.

Recent advances in medical imaging have confirmed the presence of altered hemodynamics in bicuspid aortic valve (BAV) patients. Therefore, there is a need for new hemodynamic biomarkers to refine disease monitoring and improve patient risk stratification. This research aims...

Cite
Franco P, Sotelo J, Guala A, et al. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021;141:105147doi: 10.1016/j.compbiomed.2021.105147.
Franco, P., Sotelo, J., Guala, A., Dux-Santoy, L., Evangelista, A., Rodríguez-Palomares, J., Mery, D., Salas, R., & Uribe, S. (2021). Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Computers in biology and medicine, 141105147. https://doi.org/10.1016/j.compbiomed.2021.105147
Franco, Pamela, et al. "Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning." Computers in biology and medicine vol. 141 (2021): 105147. doi: https://doi.org/10.1016/j.compbiomed.2021.105147
Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16. PMID: 34929463.
Copy Download .nbib Format: NLM
Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning.

Computers in biology and medicine

Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S.
PMID: 34929463
Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16.

Recent advances in medical imaging have confirmed the presence of altered hemodynamics in bicuspid aortic valve (BAV) patients. Therefore, there is a need for new hemodynamic biomarkers to refine disease monitoring and improve patient risk stratification. This research aims...

Cite
Franco P, Sotelo J, Guala A, et al. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021;141:105147doi: 10.1016/j.compbiomed.2021.105147.
Franco, P., Sotelo, J., Guala, A., Dux-Santoy, L., Evangelista, A., Rodríguez-Palomares, J., Mery, D., Salas, R., & Uribe, S. (2021). Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Computers in biology and medicine, 141105147. https://doi.org/10.1016/j.compbiomed.2021.105147
Franco, Pamela, et al. "Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning." Computers in biology and medicine vol. 141 (2021): 105147. doi: https://doi.org/10.1016/j.compbiomed.2021.105147
Franco P, Sotelo J, Guala A, Dux-Santoy L, Evangelista A, Rodríguez-Palomares J, Mery D, Salas R, Uribe S. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput Biol Med. 2021 Dec 16;141:105147. doi: 10.1016/j.compbiomed.2021.105147. Epub 2021 Dec 16. PMID: 34929463.
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Showing 1 to 12 of 60 entries