28 October 2003

Electromagnetic Fields Directly Affect Mitosis of Cancer Cells

Studies on the Interaction Between Electromagnetic Fields and Living Matter Neoplastic Cellular Culture
(ISSN: 1062-4767)
Suleyman Seckiner Gorgun, Collegno, Italy

Stan Truman recently provided a link to the Gorgan paper above which is unique in that it shows how electromagnetic frequencies have a direct effect on cancer cells. I used to have a link to this paper directly to Gorgun's university site but the institution put a password on it. Either too many people were hitting it or it was too hot a topic! The paper is published in an obscure journal at Temple University which is not online.

There is clearly sufficient research in the literature to indicate that electromagnetic fields have significant effects on microorganisms and on function of human cells to justify mainstream research in electronic medicine. The problem is funding priorities and raising the priority of these studies on the research agenda in academia or private companies. I've presented some of my findings on using electromagnetic frequencies to kill microorganisms at MIT on multiple occassions and some of the leading scientists on the planet have told me this is an interesting field and described exactly what to do to get results published in the leading journals.

I spent 11 years on the faculty of one of the leading U.S. medical schools and if I was still there could get lab assistance and direct some funds into this area. Unfortunately, I am now employed in healthcare computer science so my years of experience in NIH funded cancer research are now my avocation, rather than vocation.

Based on my background as one of the pioneers in the current paradigm of carcinogenesis, I've used my spare time to evolve research strategies that appear to help (at least a few) cancer patients repeatedly and reliably.

The first step is to knock out organisms that cause cancer, the Rife organism, certain viruses, parasites and fungi that depress the immune system and promote tumor growth.

The second step is to go directly after cellular function of malignant cells (as noted in the Gorgun paper referenced in one of Stan's notes above) and stop mitosis of the cells causing cell death. Frequencies in the range of 11.3MHZ to 11.9MHZ do this repeatedly. A narrow band of a few hertz will knock out specific tumor cell populations. Unfortunately, each tumor cell population has a different frequency. Identifying them for most people is like finding a needle in a hay stack. You can get definitive peaks for these frequencies with an FSCAN2.

While this appears to reliably stop specific populations of malignant cells, many premalignant cells remain. If there are any factors promoting evolution of these cells to malignancy you will continually find new malignant cell populations arising. So "curing" cancer is no easy task. You must get at the root of premalignant cell populations by altering the cellular environment to promote normalcy. This usually requires changes in nutrition, eliminating of any toxic substances in the body, ongoing prevention, and eliminating microorganisms that are aggravating the problem.

Dick Loyd gets pretty good results by scanning around the 11.7MHZ range with his plasma devices which can operate at this high frequency range. He doesn't worry about specific frequencies which I focus on.

The bottom line is that an MRI puts out a high power electromagnetic field that is going to destroy any organisms that are susceptible to frequencies generated. Also, the lower octaves of the 11.7MHZ range frequencies will also impact cell function and I recommend those regularly for people who have older FSCANs or Rife plasma device restricted to below the 10000hz range. It would be interesting to do analysis of exact frequencies of various MRI machines and notice any effect they have on cancer patients.

The reason it is difficult for a newcomer to make sense of this field is that exact frequencies are required to generate repeatable and reliable results. Any published frequency sets are only going to be guidelines of where to look, not frequencies that will precisely destroy organisms or alter cellular function. Most people have no way of reliably obtaining exact frequencies.

Second, chronic diseases are typically supported by interactions of multiple organisms. Identify frequencies for each organism and treating them in concert is necessary for reliable results in many cases.

Third, many organisms have multiple frequencies such as parasites which have four or more stages to the life cycle, each with a different frequency. All must be identified and treated simultaneously to get the desired effect. There are pleomorphic organisms (same DNA with multiple forms) like the Rife organism that also must be simultaneously treated with multiple exact frequencies. There are viruses, like the flu, that typically have as many as seven different forms. Treating one just causes another form to appear. Most Rifers are unable to cure a flu in 15 minutes because they cannot obtain the exact frequencies and apply them simultaneously.

In summary, you must (1) have a biological model of the disease, (2) have a clinical protocol that addresses the biological model, and (3) have precise frequencies, treatment times, and number of treatments required to get repeatable, reliable, results. The few individuals that can do this get more reliable results than most conventional medical treatments.


25 October 2003

PatientKeeper Personal: Pretty Good Medical Record on a Palm Pilot

I use a Palm Pilot (actually my Kyocera SmartPhone) to drive my F100 frequency generator which powers my EM6C+ device built by Bruce Stenulson and my Advanced BioPhoton Analyzers (ABPA) available from Dale Fawcett. Keeping track of all the frequencies, nutritional supplements, and homeopathic remedies used to treat various conditions is a challenge.

Why not keep all the information on clinical protocols, frequency treatments, homeopathic remedies, and even meds prescribed by your physician in a Palm program used by over 45,000 of the leading physicians in the United States. I've found I can customize CBC lab panels, including charts and graphs, to use frequencies! Check out PatientKeeper Personal. It is an extremely cool app.

Better Information Leads to Better Care
Maulin Shah, M.D. - Creator of PatientKeeper Personal

PatientKeeper Personal is a complete patient management system on your handheld device. It keeps track of patient lists, medications, problems, labs and more for each of your patients. It can be used in both the clinic and hospital settings as a "peripheral chart", so you always have the information you need to make good decisions. Furthermore, once you take the time to enter the data into PatientKeeper Personal, you can use the data in a number of ways, including automating note writing, tracking days of medications, sending information to other colleagues, and more. Once you get accustomed to having all your patients' information with you at all times, you will wonder how you ever did without it.

From a technology standpoint, PatientKeeper is in a class of its own. The engineers at PatientKeeper have just completed work on the third generation of this software and have engineered a system that is infinitely flexible and extensible to help you personalize your PatientKeeper Personal to meet your needs. A common framework and user-interface allow easy navigation between modules. Standard modules include Lab Results, NoteWriter, Medication List, Problem List, amongst others, but you can easily customize this list of active modules to fit your needs. For example, as a medical student, I may have used all of the PatientKeeper Personal modules, but now as I prepare to take my first faculty position, I use fewer, trusting the interns and students to track the finer details. Furthermore, PatientKeeper Personal can be extended to include more functions by adding modules authored by other companies that have their own expertise in clinical computing, but that do not have the time or interest in re-inventing the entire architecture of a patient management system. The end result is that you have one patient list, but countless functions you can take advantage of for your patients..


18 October 2003

Cancer Electromagnetic Frequency Therapy Research

Emerging Opportunity: Cancer Electromagnetic Frequency Therapy
Mark Neveu, The National Foundation for Alternative Medicine
Explore! Volume 12, Number 4, 2003

The scientific principles of biology and physics are converging to provide novel approaches for the treatment of disease. In contrast to the destructive ionizing effects of conventional radiation therapies, electromagnetic therapy (EMT) acts to reversibly ‘tickle’ the vibrational frequencies of biological molecules to modify cellular activities. By non-invasively balancing cellular vibratory circuits, EMT can directly influence the body’s systemic defense and repair mechanisms. The scientific rationale of EMT is reinforced by the “high tech” method that uses electromagnetic properties of biological molecules to identify new drugs (www.signaturebio.com/wt/sig/mcs). FDA approved EMT devices to reduce pain and stimulate healing are the first developments in this newly evolving field. Recently, international clinic scouts from the National Foundation for Alternative Medicine (NFAM) have identified an increasing trend in the use of non-invasive EMT devices to treat cancer patients outside the United States. If effectiveness can be scientifically documented, EMT has the potential to provide a non-invasiveand minimally toxic method to jump-start the body’s own tumor rejection process. Clinical experience has documented rapid and “spontaneous” remissions, showing that under the appropriate conditions the disease fighting and repair processes of the body can destroy even the most aggressive cancers. In the future, EMT devices might be able to therapeutically manage cancer by “resetting” the body, similar to the way electrical defibrillators “reset” normal heart function. NFAM has examined the biology and physics of EMT to determine if this non-invasive technology can be explained by accepted scientific principles. The purpose of this document is to demystify the field of EMT for the general reader, and to discuss the great potential of cancer EMT. A more rigorous technical review will be available from NFAM upon request. Based on the scientific rationale and preliminary clinical results presented, NFAM is seeking financial support to investigate medical records and treatment protocols necessary to generate our website clinic reports for patients and practitioners. Our goal is to identify three clinics to fund collaborative Phase II clinical trials to evaluate the effectiveness of EMT for cancer.


15 October 2003

Wide Variation in Physician Treatments for Disease

Recently, I was discussing with a clinical colleague the variation in treatment for specific disease patterns among physicians. I quoted a classic paper where 137 physicians prescribed 82 separate treatment strategies for female urinary tract infections. Typically, there is no analysis of differences in patient outcomes from such practice variations. Having led studies of this nature in the past, I would assume that 1/3 of the strategies helped, 1/3 made no difference, and 1/3 were worse than no treatment at all. To those that would object to this comment, I would ask where the evidence is to support any other assessment of these results.

Impact on patients for this disease may be small. However, I have pointed out elsewhere that difference in death rates among hearts patients can vary by 50% between cardiologists. Your life may depend on your evaluation of your cardiologist's evidence based approach to your treatment. Caveat emptor!

Variations among family physicians' management strategies for lower urinary tract infection in women: a report from the Washington Family Physicians Collaborative Research Network
Berg AO
J Am Board Fam Pract. 1991 Sep-Oct;4(5):327-30

BACKGROUND AND METHODS: This study surveyed a random sample of Washington State family physicians regarding their attitudes toward and usual practices in providing care to women with lower urinary tract infection.
RESULTS: Based on a 70 percent response rate, wide variations in diagnostic testing, treatment, and follow-up strategies were identified. For example, a patient vignette presenting an uncomplicated infection prompted 82 separate management strategies among the 137 replies. Attitude questions also showed wide variations in spite of stated physician confidence and comfort in evaluating and managing urinary tract infection. Associated estimated costs ranged from negligible to more than $250 per case.
CONCLUSIONS: These findings demonstrate significant physician variability in managing women's lower urinary tract infections.

10 October 2003

IEEE Computer Analysis of SARS Epidemic Yields Surprising Conclusions

Fighting Epidemics in the Information and Knowledge Age
Hau Zhuge and Xiaoqing Shi, Chinese Academy of Sciences
IEEE Computer 35:10:115, Oct 2003

"We have simulated the spread of SARS and shown that isolation control measures had no significant effect on containing the epidemic's outbreaks (http://kg.ict.ac.cn)--an outcome counterintuitive to the thinking of many people and some governments, which sought to combat the disease by implementing measures more or less blindly...

"Our research shows that SARS only spreads through a small subset of the threatened society. Simulation results tell us that the number of people infected is sensitive to population density... The Beijing survey shows that the largest close-contact infection tree covered only 37 people.

"This characteristic makes analyzing the SARS spread network feasible. We can think of it as a network of cliques--small, close-contact spread subnetworks. People within the same clique share some common socieal roles--belonging, for example, to the same family or workplace--and are more likely to infect each other than to infect people belonging to different cliques...

"Drawing an analogy between the spread network and the Web's hyperline network reveals some similarities... but the spread networks nodes and arcs constitute a more complex structure than the Web's structures. This relationship lets us view the hyperlink network as a special case of the spread network.

"Research on web page distribution shows that the page rank obeys the power-law distribution: the high rank nodes account for only a minute proportion of all the network's nodes. This result also applies in the spread network.

"Humanity's natural resilience to infection proved most important in curbing SARS. Natural resistance also plays a role at the society and ecosystem levels. A health society and ecosystem can maintain the harmony of existence by nurturing the resilience necessary to resist some invasions while evolving to resist others."

I've expounded on these health issues at length on my Electronic Medicine website. There is no more effective way to improve natural resilience than to enhance one's own immune system with a patented extract of colustrum called Transfer Factor Plus. I'm using it as I write on an airplane from Atlanta to Boston to eliminate the viruses and bacteria that are rampant in these enclosed capsules. There is no more infectious clique today than your fellow passengers on an airplane. You can find out more about preventing infection, including serious diseases like SARS, by giving my colleague Dale Fawcett a call at(360)598-6585.

05 October 2003

Evolutionary thinking is critical to managing disease

Why We Get Sick: The New Science of Darwinian Medicine
by Randolph M. Nesse, George C. Williams

There is a growing realization that many diseases are related to or caused by pathogens. Lack of understanding of evolution of microorganisms makes us ineffective at treating disease.

The evolution of antibiotic resistance is a good case in point. Working with advanced electromagnetic technologies to eliminate pathogens quickly demonstrates that evolution of microorganisms can occur quickly enough to affect treatment during the course of treating a single episode of a disease in a single patient. There needs to be a new field of the science of internal ecology of the body that builds understanding of the ecosystems of the microbiological agents that outnumber our cells.

That said, Nesse and Williams give an easily readable primer on some of the fundamental evolutionary thinking essential for successful understanding and treatment of disease. It is unfortunate that more physicians are not deeply familiar with these issues. The improper handling of disease with current antibiotics makes the organisms that cause them more deadly. This could easily be minimized by correctly approaching treatment from a base of understanding of evolutionary biology.

While this book is a good step into the deep waters of internal ecology, its easy reading makes it somewhat superficial. To start getting the real scoop, you need to read Ewald's work. A good starting point is Plague Time: How Stealth Infections Cause Cancer, Heart Disease, and Other Deadly Ailments.

As one simple example, Plague Time points out that the Borna virus is usually associated with Bipolar disease. After working with a few individuals with Bipolar disease, I've found they invariably have the Borna virus. This is untreatable by conventional medicine. Using electromagnetic techniques, the virus can be eliminated or reduced in number. This results in immediate cessation of a manic/depressive episode in some people. There are numerous other examples of these issues in heart disease, cancer, auto-immune diseases, and so forth.

The fact that microorganisms are becoming more resistant to treatment and getting deadlier from improper management, combined with the fact that many diseases are caused by unrecognized pathogens, means that every individual needs to come to grips with evolutionary biology or risk becoming a victim of it.