Rapid screening and diagnosis of various cancers from human voice using Bi-Digital O-Ring Test resonance phenomenon between 2 identical substances i.e. between microscope slide of specific cancer tissue & cancer information in the sound of human voice, and detection of myocardial damage & infection from human voice.
Since 1982, the author has been successfully using Bi-Digital O-Ring Test (BDORT) electro-magnetic resonance phenomenon between 2 identical substances; i.e. between specific cancer (in vivo) of a patient and a microscope slide of identical cancer tissue to detect cancers at a very early stage. Since 2000, the author has found that when BDORT is performed while an individual with a malignant tumor is talking, BDORT became (-1 approximately -10) in 94% of 200 cases and the number of openings (-) is approximately proportional to the degree of abnormality up to -10. Thus, cancer can be screened from voice within 1 min., without any instruments. Also, when cancer-free persons hold slides of cancer tissue or 10ng or higher Oncogene C-fos Ab2 or Integrin alpha5beta1 while talking over a short or long distance, BDORT always opens. To identify the type of the patient's malignancy, if BDORT is performed by an examiner holding a microscope slide of cancer tissue identical to the patient's cancer, characteristic strong BDORT resonance phenomenon appears with opening of all O-Rings formed between thumb and other fingers. When patients with myocardial infarct or various infections speak, no O-Rings open without holding identical pathological substances. Thus, it is possible to detect any type of malignancy from the voice, as long as a set of about 35 different tumor tissue slides is available. Based on these new findings, the author concluded that the voice of an individual with a malignancy carries information about the amount and structure of molecules present in malignant tissue.
Omura
Yoshiaki
Y
Research Foundation, USA.
D000368:Aged; D006801:Humans; D008297:Male; D008853:Microscopy; D009369:Neoplasms / Q000175:diagnosis* / Q000473:pathology; D013016:Sound; D014831:Voice