Bio-Informational Graphic-Imaging Modeling

Verka Nikolova, MSc (mathematics)
2009, Troyan, Bulgaria

http://www.medicalbiophysics.dir.bg/en/mountain_water.html

Bio-modeling can help in the activities of the physician. The right diagnosis means also finding the correct path of therapy for the illness. That is why, from the very onset of the manifestation of my bio-sensitive abilities, I focused my attention on getting the correct diagnosis. I began to, “involuntarily”, draw the organs of the body and add, in a specific way, the changes in them (fig. 1).

Fig. 1 Involuntary diagnose drawing on 10.28.1994
Fig. 1 Involuntary diagnose drawing
on 10.28.1994

Simultaneously, in my mind, I would get explicit information regarding the reason for the ailment. For example, “the cause-agent is stick-shaped” (information in cases of tuberculosis). I started seeing the very disease in form, type, color, size, etc. Sometimes, for a clearer picture, I would draw the pathology of the illness or I’d call up its impression on the skin, i.e. I pull up a “scanner image”. Those cases are listed in the book “Clairvoyance”, by the Dr. Ignat Ignatov , published by “Perseus” publishing house, Bulgaria, year 2008, pg 48-150., Those cases are listed also in the book “Clairvoyance” in Germany, published by “Argo Verlag” publishing house These cases were personally observed by Dr. Silvia Moeva, at the Second Policlinics in Lovech city, in 1992. For example, in cases of dermatological diseases, I would draw a picture of the epidermis cells and the way the disease is spreading on. The plaques in the case of psoriasis are formed through web-shaped inclusions of the neighboring cells. This way, I determine the type-classic, geographic, etc. If the patient has anemia, I would draw the blood in the shape of waves and I’d also determine either which elements have parameters lower than normal or the pollutants (fig.1). After that, I receive applicable information about the way how to eliminate the reason of the disease. Should phyto-therapy is to be used, I get the exact prescription for the herbal combination with the precise quantities and instructions for preparation. Most of the unique phyto-therapeutic prescriptions which I have received in this bio-informational way, are published in my book “Herbal revelations- inspired by the Miracle-man from Rila Mountain”, Published by VIA, Sofia, Bulgaria, year 2003.

My given abilities allow me to practically enter all the way through and to every level the body functions on – even in the intra-cellular space, on cellular level, molecular level, and so on.

Fig. 2Anatomical outline on which the diseases are being involuntarily sketched on 21.03.2000
Fig. 2 Anatomical outline on which the diseases
are being involuntarily sketched on 21.03.2000

After using this method for two years, I decided that I was wasting too much time. So, I then sketched a special scheme of the human body. I began using it every time I would be diagnosing a person, and on it, with a color pen, I started pinpointing the places where the disease manifested. At that time, I’d write down the name of it (fig.2). This scheme is cited by Dr. Iliyana Yaneva- Balabanska, MD, in her book “Untraditional methodics of diagnostics and treatment in Bulgaria”, Sofia 2006, pg 264 (Attachment #10 in the book). In the same book, the author also gives examples of cases based on her personal observations, and she notes: “Vera diagnosed S. Nikolova by her method of “involuntary” drawing. She pointed out a lot more diseases than those already marked in the personal ambulatory file of the patient.”

By using my method, I can establish a diagnosis in several different ways:

  1. In the presence of the person;
  2. While talking with the patient or a patient’s relative,
  3. By the picture of the patient,
  4. In the absence of the patient but in the presence of somebody who knows him/her.

The only important thing that I need to know is the full name and date of birth. The rest is being “captured” by my hand in the form of signals and is being placed on the exact spot on the anatomic scheme, regardless of the distance between me and person.

In 1993, my diagnostic methodic was directly observed by a group of physicians at Second Policlinics in Lovech city, chaired by Dr. Silvia Moeva. Further on, the research of this methodic continued under the direct supervision of Dr. Stephan Chikakchiev, in 1994 – 1995. He concluded that during this span of time, I was absolutely accurate in my diagnosis in 142 cases, out of 163 diagnosed patients, i.e. with 87% accuracy. The results are classified by groups of diseases, and to a further detail, by types.

Bio-modeling Results by Disease Groups

Table 1.
Diseases by System # of patients seen # of pаtients seen diagnosed correctly Accuracy of the diagnoses
1. Muscle-Skeleton System 15 12 80
2. Vascular system 38 29 76
3. Respiratory system 27 25 93
4. Digestive system 23 20 87
5. Urinary and sex system 10 9 90
6. Female Reproductive system 9 9 100
7. Nerves system 23 22 96
8. Endocrine system 7 6 86
9. Skin 5 5 100
10. Sense organs 4 3 75
11. Immune system 2 2 100

163 142 87 % + 1, - 1 %

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The table shows that I have achieved highest accuracy with the female reproductory system, skin and immune system- 100% accuracy. Then come ailments of the neuro system- 96%, respiratory system -93% urinary system - 90% and so on. And acuracy is at its lowest point with diseases of the organs of the senses - 75%.

Results of Bio-modeling by Type of Disease

Table 2. Muscle-Skeleton System
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Rheumatoid arthritis 3 2 67
2. Rheumatism 3 3 100
3. Tendons' inflammation 3 2 67
4. Arthroses 6 5 83

15 12 80 % + 1, - 1 %

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Table 3. Heart-Vascular System
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. High Blood Pressure 15 13 87
2. Low Blood Pressure 8 6 75
3. Varicosis 6 4 67
4. Arythmia 5 3 60
5. Ischemic disease 3 2 67
6. Heart insufficiency 1 1 100

38 29 76 % + 1, - 1 %

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Table 4. Respiratory system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Catching a cold 9 9 100
2. Rynitis, tonsillitis, pharyngitis, laryngitis 3 3 100
3. Sinuitis 2 2 100
4. Bronchitis 2 2 100
5. Pneumonia 5 4 80
6. Bronho-asthmatic disease 3 2 67
7. Tuberuclosis 3 3 100

27 25 93 % + 1, - 1 %

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Table 5. Digestive system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Teeth diseases 2 2 100
2. Gastritis 5 4 80
3. Ulcer of the stomach 2 2 100
4. Ulcer of the pilor 2 2 100
5. Collitis 2 2 100
6. Hemorrhoids 3 2 67
7. Pancreatitis 2 2 100
8. Gallbladder and Gallbladder Tract 3 2 67
9 Liver 2 2 87

23 20 93 % + 1, - 1 %

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Table 6. Urinary System
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Kidney diseases(pyelitis? Pielonephritis? Glomerulonephritis?) 5 4 80
2. Kidney stones 3 3 100
3. Prostatic gland problems 2 2 100

10 9 90 % + 1, - 1 %

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Table 7. Female reproductive system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Cysts of the ovari 3 3 100
2. Sterility 1 1 100
3. Benign cancer? Of the uterus and the breast-feeding gland 5 5 100

9 9 100 % + 1, - 1 %

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Table 8. Nerves system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1.Headach and migrane 3 3 100
2. Neuroses, including heart neurosis 8 7 88
3. Neuralgies 2 2 100
4. Lumbago 2 2 100
5. Herniated discs 8 8 100

23 22 96 % + 1, - 1 %

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Table 9. Endocrine system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Diabetes 3 2 67
2. Gout 2 2 100
3. Thyroid diseases 2 2 100

7 6 86 % + 1, - 1 %

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Table 10. Skin
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Psoriasis 3 3 100
2. Skin tuberculosis 1 1 100
3. Keratosis 1 1 100

5 5 100 % + 1, - 1 %

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Table 11. Organs of the Senses
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Kataract 1 1 100
2. Glaukoma 1 1 100
3. Defness 2 1 50

4 3 75 % + 1, - 1 %

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Table12. Immune system
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Allergy 2 2 100

2 2 100 % + 1, - 1 %

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The tables above show which diseases are most accurately bio-modeled with the bio-informational graphic-image methodic.

Five years later, I improved the anatomic scheme which opened up a possibility for even grater accuracy of the diagnosing.

In 2005, under the supervision of Dr. Petya Nikolova, from Plovdiv city, the methodic that I was practicing was put on another test. The results of the application of my diagnosing were compared with the results from experts councils and with the personal ambulatory files of the patients who came to be examined. Dr.Nikolova commented on this:” Verka Nikolova diagnosed 53 patients and in 51 of the cases she was accurate, which is 96%accuracy.”

Table 13. Results from the Testing of the Bio-modeling
Disease type # of patients seen # of patients seen diagnosed correctly Accuracy of the diagnoses
1. Muscle-Skeleton System 6 5 83
2. Heart-Vascular system 10 9 90
3. Digestive system 7 7 100
4. Nerves system 27 27 100
5. Organs of the Senses 1 1 100
6. Immune system 2 2 100

53 51 96 % + 1, - 1 %

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д-р Тимински, проф. Власов, Николова, Хановер, 2009
Koch’s Medal 2008, European Academy of
Natural Sciences (Germany) http://www.eanw.de/
Dr. Tyminskiy, Prof. Vlassov, Nikolova, Hanover, 2009
Nominated by Dr. Ignatov Dr.
Nikolova is Holder of Koch’s
Medal 2008 for author methodic
Dr. Tyminskiy, Prof. Vlassov, Nikolova,
Hanover, 2009

With the time passing by, I not only further improved the methodic, but my bio-sensitivity got better, too. Every organ in my body started responding in correlation with the organ in the body of the patient whom I was in the process of diagnosing with the anatomic scheme in front of me. I started feeling the pain, seeing and understanding the reason for it. All this helped me to more boldly express my position when diagnosing. Besides all this, it turned out to be of extreme importance to have worked with physicians from all specialties. Based on mutual respect and honoring the knowledge of everyone in his/her area, as well as honoring my abilities, we could find the most appropriate therapy for a patient’s particular disease.

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My many years of teamwork with different physicians, each of them a specialist in her/his fields, confirmed that my personally developed method of “BIOINFORMATIONAL GRAPHIC-IMAGING MODELING” can be successfully applied in the cases of:

Рейки мастерски проект, Тетевен, 2009, Бобевска къща
Anne-Marie Risbjerg, Manuela Friebe, Monika Stamm,
Gertrud Kohl, Isabella Petri, Helga Drechsel,
Edith Günther, Angela Zellner, Dr. Ignat Ignatov,
Verka Nikolova, Gerda Hilda Lämmler, Diana Schultheis,
Milena Kardaleva (translator)
Reiki Master Project, Teteven, Bulgaria, 2009,
Bobevski’s House (Nikolovi’s family house, since 1852)
http://www.isabellapetri.de/Biophysical%20Experimentsb.html

In the opinion of Dr. Iliana Yaneva-Balabanska, MD, Dr. Silvia Moeva, Dr. Stephan Chikakchiev, Dr. Petya Nikolova, Dr. Maria Kutzarova, Dr.Dobrev, Dr. Plamen Vanev, and other physicians that I have worked with, as well as in the opinion of Dr. Ignat Ignatov, my BIOINFORMATIONAL GRAPHIC-IMAGING MODELING can be used as a non-conventional methodic together with the established by the official medicine approaches for both diagnosing and early intervention of different diseases.

The report and methodic of Verka Nikolova © are copyrighted.
The report has been presented at the International Medical Congress EUROMEDICA,
European Academy of Natural Sciences, Hanover, 2009.

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