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On the role of natural science methods in the investigation of low doses effects. / Ampilova, Natalia; Soloviev, Igor; Gurevich, Eugeny.

In: International Journal of High Dilution Research, Vol. 17, No. 2, 01.01.2018, p. 2-3.

Research output: Contribution to journalArticlepeer-review

Harvard

Ampilova, N, Soloviev, I & Gurevich, E 2018, 'On the role of natural science methods in the investigation of low doses effects', International Journal of High Dilution Research, vol. 17, no. 2, pp. 2-3.

APA

Ampilova, N., Soloviev, I., & Gurevich, E. (2018). On the role of natural science methods in the investigation of low doses effects. International Journal of High Dilution Research, 17(2), 2-3.

Vancouver

Ampilova N, Soloviev I, Gurevich E. On the role of natural science methods in the investigation of low doses effects. International Journal of High Dilution Research. 2018 Jan 1;17(2):2-3.

Author

Ampilova, Natalia ; Soloviev, Igor ; Gurevich, Eugeny. / On the role of natural science methods in the investigation of low doses effects. In: International Journal of High Dilution Research. 2018 ; Vol. 17, No. 2. pp. 2-3.

BibTeX

@article{163371a304754447ae3647998e8f1b8c,
title = "On the role of natural science methods in the investigation of low doses effects",
abstract = "Background: Modern achievements of physics, biology, chemistry, mathematics and informatics considerably extend scientific basis for explanation of low doses effects in homoeopathy. The research of many great scientists has made it feasible to create a physical model describing this effect [1-5]. Now experimental investigations based on the methods of natural sciences allows us to register the dynamics of processes in biological systems. The results may be represented by various ways, in particular as digital images or signals. The application of mathematical and computer methods of image analysis opens up possibilities to obtain numerical data that characterize real processes and helps to estimate the biological system state, which is important in medical practice [6, 7]. Aims: To obtain numerical characteristics of biomedical preparation images. Methodology: Application of mathematical and computer methods for image analysis in biology and medicine Results and discussion: We apply image analysis to study changes in a biological system state. Our experiments on some classes of biomedical preparations including ones obtained by sensitive crystallization and capillary dynamolysis methods resulted in obtaining numerical characteristics which allows us to distinct images from different classes,( such as acute and chronic inflammatory processes, benign and malignant tumors, etc.) and may be considered as classifying signs. Conclusion: The application of various mathematical and computer methods of images analysis results in classifying biomedical preparations and may be successfully used in medical practice.",
author = "Natalia Ampilova and Igor Soloviev and Eugeny Gurevich",
year = "2018",
month = jan,
day = "1",
language = "English",
volume = "17",
pages = "2--3",
journal = "International Journal of High Dilution Research",
issn = "1982-6206",
publisher = "Universidade Estadual Paulista - UNESP",
number = "2",

}

RIS

TY - JOUR

T1 - On the role of natural science methods in the investigation of low doses effects

AU - Ampilova, Natalia

AU - Soloviev, Igor

AU - Gurevich, Eugeny

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Background: Modern achievements of physics, biology, chemistry, mathematics and informatics considerably extend scientific basis for explanation of low doses effects in homoeopathy. The research of many great scientists has made it feasible to create a physical model describing this effect [1-5]. Now experimental investigations based on the methods of natural sciences allows us to register the dynamics of processes in biological systems. The results may be represented by various ways, in particular as digital images or signals. The application of mathematical and computer methods of image analysis opens up possibilities to obtain numerical data that characterize real processes and helps to estimate the biological system state, which is important in medical practice [6, 7]. Aims: To obtain numerical characteristics of biomedical preparation images. Methodology: Application of mathematical and computer methods for image analysis in biology and medicine Results and discussion: We apply image analysis to study changes in a biological system state. Our experiments on some classes of biomedical preparations including ones obtained by sensitive crystallization and capillary dynamolysis methods resulted in obtaining numerical characteristics which allows us to distinct images from different classes,( such as acute and chronic inflammatory processes, benign and malignant tumors, etc.) and may be considered as classifying signs. Conclusion: The application of various mathematical and computer methods of images analysis results in classifying biomedical preparations and may be successfully used in medical practice.

AB - Background: Modern achievements of physics, biology, chemistry, mathematics and informatics considerably extend scientific basis for explanation of low doses effects in homoeopathy. The research of many great scientists has made it feasible to create a physical model describing this effect [1-5]. Now experimental investigations based on the methods of natural sciences allows us to register the dynamics of processes in biological systems. The results may be represented by various ways, in particular as digital images or signals. The application of mathematical and computer methods of image analysis opens up possibilities to obtain numerical data that characterize real processes and helps to estimate the biological system state, which is important in medical practice [6, 7]. Aims: To obtain numerical characteristics of biomedical preparation images. Methodology: Application of mathematical and computer methods for image analysis in biology and medicine Results and discussion: We apply image analysis to study changes in a biological system state. Our experiments on some classes of biomedical preparations including ones obtained by sensitive crystallization and capillary dynamolysis methods resulted in obtaining numerical characteristics which allows us to distinct images from different classes,( such as acute and chronic inflammatory processes, benign and malignant tumors, etc.) and may be considered as classifying signs. Conclusion: The application of various mathematical and computer methods of images analysis results in classifying biomedical preparations and may be successfully used in medical practice.

UR - http://www.scopus.com/inward/record.url?scp=85058065551&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85058065551

VL - 17

SP - 2

EP - 3

JO - International Journal of High Dilution Research

JF - International Journal of High Dilution Research

SN - 1982-6206

IS - 2

ER -

ID: 36962421