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Showing 1 to 12 of 29 entries
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Obesity and socioeconomic status in developing countries: a systematic review

socioeconomic status & related terms (e.g., low income)

Goryakin Y, Fumagalli E.
GSID: JN0AErNs5IIJ
GD Dinsa, Y Goryakin, E Fumagalli… - Obesity …, 2012 - Wiley Online Library

… The term ‘developing countries’ and the list of all developing countries according to the latest World Bank income classification 5 (ie low income

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Dinsa, G. D., Goryakin, Y., Fumagalli, E., & Suhrcke, M. (2012). Obesity and socioeconomic status in developing countries: a systematic review. Obesity reviews, 13(11), 1067-1079.
Dinsa, G. Deye, et al. "Obesity and socioeconomic status in developing countries: a systematic review." Obesity reviews 13.11 (2012): 1067-1079.
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Genome Sequence of the Electrogenic Petroleum-Degrading Thalassospira sp. Strain HJ.

Genome announcements

Kiseleva L, Garushyants SK, Briliute J, Simpson DJ, Cohen MF, Goryanin I.
PMID: 25977412
Genome Announc. 2015 May 14;3(3). doi: 10.1128/genomeA.00483-15.

We present the draft genome of the petroleum-degrading Thalassospira sp. strain HJ, isolated from tidal marine sediment. Knowledge of this genomic information will inform studies on electrogenesis and means to degrade environmental organic contaminants, including compounds found in petroleum.

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Kiseleva L, Garushyants SK, Briliute J, et al. Genome Sequence of the Electrogenic Petroleum-Degrading Thalassospira sp. Strain HJ. Genome Announc. 2015;3(3)doi: 10.1128/genomeA.00483-15.
Kiseleva, L., Garushyants, S. K., Briliute, J., Simpson, D. J., Cohen, M. F., & Goryanin, I. (2015). Genome Sequence of the Electrogenic Petroleum-Degrading Thalassospira sp. Strain HJ. Genome announcements, 3(3), . https://doi.org/10.1128/genomeA.00483-15
Kiseleva, Larisa, et al. "Genome Sequence of the Electrogenic Petroleum-Degrading Thalassospira sp. Strain HJ." Genome announcements vol. 3,3 (2015). doi: https://doi.org/10.1128/genomeA.00483-15
Kiseleva L, Garushyants SK, Briliute J, Simpson DJ, Cohen MF, Goryanin I. Genome Sequence of the Electrogenic Petroleum-Degrading Thalassospira sp. Strain HJ. Genome Announc. 2015 May 14;3(3). doi: 10.1128/genomeA.00483-15. PMID: 25977412; PMCID: PMC4432352.
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Human metabolic network reconstruction and its impact on drug discovery and development.

Drug discovery today

Ma H, Goryanin I.
PMID: 18468557
Drug Discov Today. 2008 May;13(9):402-8. doi: 10.1016/j.drudis.2008.02.002. Epub 2008 Mar 24.

This paper describes the process for the reconstruction of a high quality human metabolic network from the genome information, the existing problems in the reconstruction and why a time-consuming literature based consolidation process is needed. The reconstructed metabolic network...

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Ma H, Goryanin I. Human metabolic network reconstruction and its impact on drug discovery and development. Drug Discov Today. 2008;13(9):402-8doi: 10.1016/j.drudis.2008.02.002.
Ma, H., & Goryanin, I. (2008). Human metabolic network reconstruction and its impact on drug discovery and development. Drug discovery today, 13(9), 402-8. https://doi.org/10.1016/j.drudis.2008.02.002
Ma, Hongwu, and Goryanin, Igor. "Human metabolic network reconstruction and its impact on drug discovery and development." Drug discovery today vol. 13,9 (2008): 402-8. doi: https://doi.org/10.1016/j.drudis.2008.02.002
Ma H, Goryanin I. Human metabolic network reconstruction and its impact on drug discovery and development. Drug Discov Today. 2008 May;13(9):402-8. doi: 10.1016/j.drudis.2008.02.002. Epub 2008 Mar 24. PMID: 18468557.
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Erratum to: Global Health Workforce Labor Market Projections for 2030.

Human resources for health

Liu JX, Goryakin Y, Maeda A, Bruckner T, Scheffler R.
PMID: 28219409
Hum Resour Health. 2017 Feb 20;15(1):18. doi: 10.1186/s12960-017-0193-4.

No abstract available.

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Liu JX, Goryakin Y, Maeda A, et al. Erratum to: Global Health Workforce Labor Market Projections for 2030. Hum Resour Health. 2017;15(1):18doi: 10.1186/s12960-017-0193-4.
Liu, J. X., Goryakin, Y., Maeda, A., Bruckner, T., & Scheffler, R. (2017). Erratum to: Global Health Workforce Labor Market Projections for 2030. Human resources for health, 15(1), 18. https://doi.org/10.1186/s12960-017-0193-4
Liu, Jenny X, et al. "Erratum to: Global Health Workforce Labor Market Projections for 2030." Human resources for health vol. 15,1 (2017): 18. doi: https://doi.org/10.1186/s12960-017-0193-4
Liu JX, Goryakin Y, Maeda A, Bruckner T, Scheffler R. Erratum to: Global Health Workforce Labor Market Projections for 2030. Hum Resour Health. 2017 Feb 20;15(1):18. doi: 10.1186/s12960-017-0193-4. PMID: 28219409; PMCID: PMC5319059.
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ASAR: visual analysis of metagenomes in R.

Bioinformatics (Oxford, England)

Orakov AN, Sakenova NK, Sorokin A, Goryanin II.
PMID: 29211828
Bioinformatics. 2018 Apr 15;34(8):1404-1405. doi: 10.1093/bioinformatics/btx775.

MOTIVATION: Functional and taxonomic analyses are critical steps in understanding interspecific interactions within microbial communities. Currently, such analyses are run separately, which complicates interpretation of results. Here we present the ASAR interactive tool for simultaneous analysis of metagenomic data...

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Orakov AN, Sakenova NK, Sorokin A, et al. ASAR: visual analysis of metagenomes in R. Bioinformatics. 2018;34(8):1404-1405doi: 10.1093/bioinformatics/btx775.
Orakov, A. N., Sakenova, N. K., Sorokin, A., & Goryanin, I. I. (2018). ASAR: visual analysis of metagenomes in R. Bioinformatics (Oxford, England), 34(8), 1404-1405. https://doi.org/10.1093/bioinformatics/btx775
Orakov, Askarbek N, et al. "ASAR: visual analysis of metagenomes in R." Bioinformatics (Oxford, England) vol. 34,8 (2018): 1404-1405. doi: https://doi.org/10.1093/bioinformatics/btx775
Orakov AN, Sakenova NK, Sorokin A, Goryanin II. ASAR: visual analysis of metagenomes in R. Bioinformatics. 2018 Apr 15;34(8):1404-1405. doi: 10.1093/bioinformatics/btx775. PMID: 29211828; PMCID: PMC5905653.
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The metabolic pathway collection: an update.

Nucleic acids research

Selkov E, Galimova M, Goryanin I, Gretchkin Y, Ivanova N, Komarov Y, Maltsev N, Mikhailova N, Nenashev V, Overbeek R, Panyushkina E, Pronevitch L, Selkov E.
PMID: 9016500
Nucleic Acids Res. 1997 Jan 01;25(1):37-8. doi: 10.1093/nar/25.1.37.
Free PMC Article

The Metabolic Pathway Collection from EMP is an extraction of data from the larger Enzymes and Metabolic Pathways database (EMP). This extraction has been made publicly available in the hope that others will find it useful for a variety...

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Selkov E, Galimova M, Goryanin I, et al. The metabolic pathway collection: an update. Nucleic Acids Res. 1997;25(1):37-8doi: 10.1093/nar/25.1.37.
Selkov, E., Galimova, M., Goryanin, I., Gretchkin, Y., Ivanova, N., Komarov, Y., Maltsev, N., Mikhailova, N., Nenashev, V., Overbeek, R., Panyushkina, E., Pronevitch, L., & Selkov, E. (1997). The metabolic pathway collection: an update. Nucleic acids research, 25(1), 37-8. https://doi.org/10.1093/nar/25.1.37
Selkov, E, et al. "The metabolic pathway collection: an update." Nucleic acids research vol. 25,1 (1997): 37-8. doi: https://doi.org/10.1093/nar/25.1.37
Selkov E, Galimova M, Goryanin I, Gretchkin Y, Ivanova N, Komarov Y, Maltsev N, Mikhailova N, Nenashev V, Overbeek R, Panyushkina E, Pronevitch L, Selkov E. The metabolic pathway collection: an update. Nucleic Acids Res. 1997 Jan 01;25(1):37-8. doi: 10.1093/nar/25.1.37. PMID: 9016500; PMCID: PMC146375.
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Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases.

Computer methods and programs in biomedicine

Levshinskii V, Galazis C, Losev A, Zamechnik T, Kharybina T, Vesnin S, Goryanin I.
PMID: 34998169
Comput Methods Programs Biomed. 2021 Dec 29;215:106611. doi: 10.1016/j.cmpb.2021.106611. Epub 2021 Dec 29.

We studied the possibility of using artificial intelligence (AI) passive microwave radiometry (MWR) for the diagnostics of venous diseases. MWR measures non-invasive microwave emission (internal temperature) from human body 4 cm deep. The method has been used for early...

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Levshinskii V, Galazis C, Losev A, et al. Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Comput Methods Programs Biomed. 2021;215:106611doi: 10.1016/j.cmpb.2021.106611.
Levshinskii, V., Galazis, C., Losev, A., Zamechnik, T., Kharybina, T., Vesnin, S., & Goryanin, I. (2021). Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Computer methods and programs in biomedicine, 215106611. https://doi.org/10.1016/j.cmpb.2021.106611
Levshinskii, V, et al. "Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases." Computer methods and programs in biomedicine vol. 215 (2021): 106611. doi: https://doi.org/10.1016/j.cmpb.2021.106611
Levshinskii V, Galazis C, Losev A, Zamechnik T, Kharybina T, Vesnin S, Goryanin I. Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Comput Methods Programs Biomed. 2021 Dec 29;215:106611. doi: 10.1016/j.cmpb.2021.106611. Epub 2021 Dec 29. PMID: 34998169.
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Using medical microwave radiometry for brain temperature measurements.

Drug discovery today

Shevelev O, Petrova M, Smolensky A, Osmonov B, Toimatov S, Kharybina T, Karbainov S, Ovchinnikov L, Vesnin S, Tarakanov A, Goryanin I.
PMID: 34767961
Drug Discov Today. 2021 Nov 09; doi: 10.1016/j.drudis.2021.11.004. Epub 2021 Nov 09.

Brain temperature (BT) is a crucial physiological parameter used to monitor cerebral status. Physical activities and traumatic brain injuries (TBI) can affect BT; therefore, non-invasive BT monitoring is an important way to gain insight into TBI, stroke, and wellbeing....

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Shevelev O, Petrova M, Smolensky A, et al. Using medical microwave radiometry for brain temperature measurements. Drug Discov Today. 2021;doi: 10.1016/j.drudis.2021.11.004.
Shevelev, O., Petrova, M., Smolensky, A., Osmonov, B., Toimatov, S., Kharybina, T., Karbainov, S., Ovchinnikov, L., Vesnin, S., Tarakanov, A., & Goryanin, I. (2021). Using medical microwave radiometry for brain temperature measurements. Drug discovery today, . https://doi.org/10.1016/j.drudis.2021.11.004
Shevelev, Oleg, et al. "Using medical microwave radiometry for brain temperature measurements." Drug discovery today vol. (2021). doi: https://doi.org/10.1016/j.drudis.2021.11.004
Shevelev O, Petrova M, Smolensky A, Osmonov B, Toimatov S, Kharybina T, Karbainov S, Ovchinnikov L, Vesnin S, Tarakanov A, Goryanin I. Using medical microwave radiometry for brain temperature measurements. Drug Discov Today. 2021 Nov 09; doi: 10.1016/j.drudis.2021.11.004. Epub 2021 Nov 09. PMID: 34767961.
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Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases.

Computer methods and programs in biomedicine

Levshinskii V, Galazis C, Losev A, Zamechnik T, Kharybina T, Vesnin S, Goryanin I.
PMID: 34998169
Comput Methods Programs Biomed. 2021 Dec 29;215:106611. doi: 10.1016/j.cmpb.2021.106611. Epub 2021 Dec 29.

We studied the possibility of using artificial intelligence (AI) passive microwave radiometry (MWR) for the diagnostics of venous diseases. MWR measures non-invasive microwave emission (internal temperature) from human body 4 cm deep. The method has been used for early...

Cite
Levshinskii V, Galazis C, Losev A, et al. Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Comput Methods Programs Biomed. 2021;215:106611doi: 10.1016/j.cmpb.2021.106611.
Levshinskii, V., Galazis, C., Losev, A., Zamechnik, T., Kharybina, T., Vesnin, S., & Goryanin, I. (2021). Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Computer methods and programs in biomedicine, 215106611. https://doi.org/10.1016/j.cmpb.2021.106611
Levshinskii, V, et al. "Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases." Computer methods and programs in biomedicine vol. 215 (2021): 106611. doi: https://doi.org/10.1016/j.cmpb.2021.106611
Levshinskii V, Galazis C, Losev A, Zamechnik T, Kharybina T, Vesnin S, Goryanin I. Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases. Comput Methods Programs Biomed. 2021 Dec 29;215:106611. doi: 10.1016/j.cmpb.2021.106611. Epub 2021 Dec 29. PMID: 34998169.
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The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds.

Sensors (Basel, Switzerland)

Lapušinskij A, Suzdalev I, Goranin N, Janulevičius J, Ramanauskaitė S, Stankūnavičius G.
PMID: 34502711
Sensors (Basel). 2021 Aug 29;21(17). doi: 10.3390/s21175821.

The increase in flying time of unmanned aerial vehicles (UAV) is a relevant and difficult task for UAV designers. It is especially important in such tasks as monitoring, mapping, or signal retranslation. While the majority of research is concentrated...

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Lapušinskij A, Suzdalev I, Goranin N, et al. The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds. Sensors (Basel). 2021;21(17)doi: 10.3390/s21175821.
Lapušinskij, A., Suzdalev, I., Goranin, N., Janulevičius, J., Ramanauskaitė, S., & Stankūnavičius, G. (2021). The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds. Sensors (Basel, Switzerland), 21(17), . https://doi.org/10.3390/s21175821
Lapušinskij, Aleksandr, et al. "The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds." Sensors (Basel, Switzerland) vol. 21,17 (2021). doi: https://doi.org/10.3390/s21175821
Lapušinskij A, Suzdalev I, Goranin N, Janulevičius J, Ramanauskaitė S, Stankūnavičius G. The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds. Sensors (Basel). 2021 Aug 29;21(17). doi: 10.3390/s21175821. PMID: 34502711; PMCID: PMC8434448.
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Informativeness of structural and biochemical changes in the muscle tissue of myocardium in the early postmortem period.

Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego

Cherkashyna L, Bondar O, Patalakha O, Shklyar A, Sukhonosov R, Toryanik I, Demikhova N, Barchan G.
PMID: 34919083
Pol Merkur Lekarski. 2021 Dec 16;49(294):411-416.

Postmortem structural and biochemical changes in the muscle tissue (MT) of myocardium from the positions of forensic examinations (FE) of the prescription of death coming (PDC) were not studied systematically, this fact determining the purpose of the present research.AIM:...

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Cherkashyna L, Bondar O, Patalakha O, et al. Informativeness of structural and biochemical changes in the muscle tissue of myocardium in the early postmortem period. Pol Merkur Lekarski. 2021;49(294):411-416
Cherkashyna, L., Bondar, O., Patalakha, O., Shklyar, A., Sukhonosov, R., Toryanik, I., Demikhova, N., & Barchan, G. (2021). Informativeness of structural and biochemical changes in the muscle tissue of myocardium in the early postmortem period. Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego, 49(294), 411-416.
Cherkashyna, Lidiya, et al. "Informativeness of structural and biochemical changes in the muscle tissue of myocardium in the early postmortem period." Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego vol. 49,294 (2021): 411-416.
Cherkashyna L, Bondar O, Patalakha O, Shklyar A, Sukhonosov R, Toryanik I, Demikhova N, Barchan G. Informativeness of structural and biochemical changes in the muscle tissue of myocardium in the early postmortem period. Pol Merkur Lekarski. 2021 Dec 16;49(294):411-416. PMID: 34919083.
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Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan.

Diagnostics (Basel, Switzerland)

Osmonov B, Ovchinnikov L, Galazis C, Emilov B, Karaibragimov M, Seitov M, Vesnin S, Losev A, Levshinskii V, Popov I, Mustafin C, Kasymbekov T, Goryanin I.
PMID: 33562419
Diagnostics (Basel). 2021 Feb 07;11(2). doi: 10.3390/diagnostics11020259.

The global spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19), could be due to limited access to diagnostic tests and equipment. Currently, most diagnoses use the reverse transcription polymerase chain reaction (RT-PCR) and...

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Osmonov B, Ovchinnikov L, Galazis C, et al. Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan. Diagnostics (Basel). 2021;11(2)doi: 10.3390/diagnostics11020259.
Osmonov, B., Ovchinnikov, L., Galazis, C., Emilov, B., Karaibragimov, M., Seitov, M., Vesnin, S., Losev, A., Levshinskii, V., Popov, I., Mustafin, C., Kasymbekov, T., & Goryanin, I. (2021). Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan. Diagnostics (Basel, Switzerland), 11(2), . https://doi.org/10.3390/diagnostics11020259
Osmonov, Batyr, et al. "Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan." Diagnostics (Basel, Switzerland) vol. 11,2 (2021). doi: https://doi.org/10.3390/diagnostics11020259
Osmonov B, Ovchinnikov L, Galazis C, Emilov B, Karaibragimov M, Seitov M, Vesnin S, Losev A, Levshinskii V, Popov I, Mustafin C, Kasymbekov T, Goryanin I. Passive Microwave Radiometry for the Diagnosis of Coronavirus Disease 2019 Lung Complications in Kyrgyzstan. Diagnostics (Basel). 2021 Feb 07;11(2). doi: 10.3390/diagnostics11020259. PMID: 33562419; PMCID: PMC7914607.
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Showing 1 to 12 of 29 entries