<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJBIPHY</journal-id><journal-title-group><journal-title>Open Journal of Biophysics</journal-title></journal-title-group><issn pub-type="epub">2164-5388</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojbiphy.2022.124013</article-id><article-id pub-id-type="publisher-id">OJBIPHY-120806</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Study on Plant Radiation Signal Transduction for Human Self-Healing
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xinzhou</surname><given-names>Yuan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiafeng</surname><given-names>Yuan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Qiao</surname><given-names>Bi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kongzhi</surname><given-names>Song</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Shenzhen Xinzhou Bio-Information Technology Co., Ltd., Shenzhen, China</addr-line></aff><pub-date pub-type="epub"><day>29</day><month>09</month><year>2022</year></pub-date><volume>12</volume><issue>04</issue><fpage>265</fpage><lpage>283</lpage><history><date date-type="received"><day>17,</day>	<month>August</month>	<year>2022</year></date><date date-type="rev-recd"><day>25,</day>	<month>October</month>	<year>2022</year>	</date><date date-type="accepted"><day>28,</day>	<month>October</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  We selected 450 patients with chronic and difficult diseases as receptors, and selected edible and medicinal plant combinations as biological signal donors, and randomly participated in a new experiment. After adjusting the patient’s biological field, the compensating bio information energy (CBE) high-tech is applied to transmit the signal of plant radiation to the patient’s body. The physical therapy of this health care mode has the characteristics of no contact, no drugs, no intervention, no toxic side effects, no pain, and no electromagnetic radiation and so on. Before and after the experiment, the main function test, cell function, cell biochemistry and body temperature of each patient were used for the same body control and data statistical analysis, and then the comprehensive integration method was used to evaluate the effect. We found that after 1 - 4 courses of treatment (7 - 28 dx 2h), the potential disease risk of patients was significantly reduced, the relevant medical indicators improved rapidly, and the cell function and symptoms improved simultaneously. The effective rate was up to 90%, the significant efficiency was up to 57%. This experiment shows that this new physical therapy can treat both symptoms and root causes, make chronic and difficult diseases self-healing and rehabilitation, and has no ethical problems. It also shows that information on plant health can play an important role in reversing cell aging and restoring cell function. Therefore, it opens up a new field of natural therapy, which can be called cell information therapy.
 
</p></abstract><kwd-group><kwd>Plant Signal</kwd><kwd> DNA Communication</kwd><kwd> Cell Information Therapy</kwd><kwd> CBE Technology</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In the 1920s, the former Soviet biologist Gulovich first discovered biological signals and non-contact biological effects through the famous onion experiment [<xref ref-type="bibr" rid="scirp.120806-ref1">1</xref>] . Jiangcan Zheng, a Chinese scientist in the former Soviet Union, has made many incredible achievements in improving human function and transferring genetic traits through allogeneic biological signal transmission by using the technology of physical shielding, which was once supported by the former Soviet Academy of Sciences and Chinese experts [<xref ref-type="bibr" rid="scirp.120806-ref2">2</xref>] .</p><p>We have taken a different approach and applied CBE technology to directionally select the signal of plant radiation to deliver it to the human body, so that the functions of the organs, tissues and corresponding cell systems of patients with chronic and difficult diseases can achieve self-healing and recovery [<xref ref-type="bibr" rid="scirp.120806-ref3">3</xref>] . This is a method for directional transfer of plant information to achieve self-healing and recovery of cells. This information is expressed through the change of signal energy, which is the information “nutrient” needed by cells, and can reverse cell aging and restore cell function. Therefore, we can call this plant signal as information energy [<xref ref-type="bibr" rid="scirp.120806-ref4">4</xref>] . On the basis of this research, we discovered a natural therapy for compensating bioinformatic energy [<xref ref-type="bibr" rid="scirp.120806-ref5">5</xref>] , which is a new type of physical therapy derived from plant (biological) information, which can realize cell self-healing and recovery, referred to as cell information therapy. Since 2018, we have tried to make 450 patients with chronic and difficult diseases randomly participate in the experiment of CBE technology transferring plant combined signals to human body by using double-blind method and same body control. During the experiment, according to the different conditions of their functional improvement, they were arranged to gradually reduce or stop the drugs without psychological induction and suggestion, and there were also no other therapies. We only focus on improving the basic function of patients, and making the same body control with the results of cell biochemical test, cell function and body temperature test; from qualitative to quantitative, the comprehensive integration method was used to determine the experimental results, and the effect was tracked for more than one year.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Information Donors and Receptor</title><p>In order to ensure that good information donors will provide good information of human cells in the experiment, we have strict standards for the selection of donor plants: give priority to the food and vegetable sprouts eaten by the human, and select the traditional Chinese medicine plants commonly used by the human body and verified by a large number of human experiments, which are beneficial, harmless and in the process of vigorous growth according to the different conditions of patients. Considering the fact that the famous onion experiment found that the biological signal comes from the process of cell division, we chose grain, vegetable buds and vigorous growth of traditional Chinese medicine plants as the donors of plant information, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Our experimental results show that plants will radiate young and vigorous growth information in the process of growth, and the information power density is large, that is, the amount of information is large, which can accelerate the reversal of cell aging and restore human cell function. In addition, the biological experimental results of many repeatable molecular transfer free genetic traits show that DNA signal is the most basic signal in biological signals [<xref ref-type="bibr" rid="scirp.120806-ref6">6</xref>] . According to the theory of atomic emission spectrum and absorption spectrum [<xref ref-type="bibr" rid="scirp.120806-ref7">7</xref>] , we speculate that the change of atomic energy level in DNA macromolecules may be a process of controlling life activities. When the atoms in DNA molecules fall from high-energy state to low-energy state, DNA will release energy quantum, On the contrary, when it rises from low-energy state to high-energy state, DNA needs to receive energetic particles, which may be a reason for DNA radiation or absorption of signals, expression or acceptance of life information; biological information is expressed through some complex changes of biological signals. Therefore, we have developed biological radiation signal power detection equipment to detect the radiation signal power of selected plant signal donors, as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. In the experiment, for the sake of rigor, we also made a strict selection for the selection of information donors, and formulated quantitative criteria.</p><p>The receptors in the experiment are randomly selected patients with various chronic and difficult diseases, all of whom are difficult to treat and cannot be cured by current medical treatment, including 241 male patients and 209 female patients, the youngest being 4 years old and the oldest being 84 years old; among them, about 20% of critically ill patients, about 70% of patients suffering from various underlying diseases and complications, and about 10% of difficult diseases.</p></sec><sec id="s2_2"><title>2.2. Experimental Equipment</title><p>All the experimental equipments are developed and manufactured by ourselves, and we have obtained relevant Chinese patents, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. Among them, the biological information self-healing and rehabilitation cabin is referred to as the rehabilitation cabin [<xref ref-type="bibr" rid="scirp.120806-ref8">8</xref>] , as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(a); the biological information self-healing and rehabilitation machine [<xref ref-type="bibr" rid="scirp.120806-ref9">9</xref>] , referred to as the rehabilitation machine, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(b); the vision self-healing and rehabilitation machine [<xref ref-type="bibr" rid="scirp.120806-ref10">10</xref>] , as seen in <xref ref-type="fig" rid="fig3">Figure 3</xref>(c); the bio-field rehabilitation bed [<xref ref-type="bibr" rid="scirp.120806-ref11">11</xref>] , can be seen in <xref ref-type="fig" rid="fig3">Figure 3</xref>(d). The above-mentioned special equipments are all equipped with “the system for directional transfer of biological signals” [<xref ref-type="bibr" rid="scirp.120806-ref12">12</xref>] , which are installed in the above-mentioned different equipments according to different treatment needs.</p></sec><sec id="s2_3"><title>2.3. Basic Principle and Composition of CBE Technology</title><sec id="s2_3_1"><title>2.3.1. Basic Principles</title><p>When the functions or structures of cells, tissues, organs and other systems change, the biological signals radiated by them will change first, which can be used as an important basis for judging whether they are not ill (possible lesions), such as the application of cardiac and brain electrical signals. Moreover, we also found that when the signals radiated by cells, tissues, organs and other systems are modulated by external matched biological signals, it will also affect the changes of the function or structure of the original system [<xref ref-type="bibr" rid="scirp.120806-ref13">13</xref>] , which is the basic principle on which CBE is used.</p></sec><sec id="s2_3_2"><title>2.3.2. Three Part Composition</title><p>Through experiments, we have found that different plants will radiate different biological signals and have different improvement effects on different cells of the human body [<xref ref-type="bibr" rid="scirp.120806-ref14">14</xref>] . Therefore, we believe that DNA in different cells may radiate different life signals and receive corresponding life signals, so different life signal effects will be produced. The patients who participated in the experiment at random had different diseases. According to the different conditions of each patient, we choose different combinations of living plants to output their signals, including grain, vegetables, and bean sprouts; there are combinations of traditional Chinese medicine plants; and the combination of grain, vegetables and traditional Chinese medicine plants, we call it as a “recipe”. During the recovery process, the plant recipe must be adjusted according to their physical recovery and needs. The experimental results show that the correct recipe will accelerate the recovery of the patient’s function, which is similar to the traditional Chinese medicine formula for conditioning and curing diseases.</p><p>According to the basic principles of quantum physics and low-energy particle accelerator, we have invented the biological signal transfer system in CBE technology by using a variety of new technologies, which realizes the functions of directional acquisition, processing, acceleration, maximum signal-to-noise ratio and directional transfer of plant signals to human cells. This new technology has developed a new structure and biological signal wave processing process, which greatly reduces the manufacturing cost. Through the directional acceleration of plant signal field, it realizes the maximum power density of plant signal output and increases the amount of information received by receptor cells per unit time. According to the different needs of patients, CBE signal transfer system can be installed on different equipment to facilitate the application of human treatment.</p><p>Furthermore, according to the theory of Chinese medicine and the successful practice of plant-based treatment of diseases for thousands of years, as well as the advantages of plant varieties such as diversification, universality, low cost and no ethical problems, we determine to give priority to grain, vegetable buds and seedlings, as well as traditional Chinese medicine plants in the growth process as the donors of biological signals. The experiments show that plants radiate stronger signals, greater and better information in the process of cell division, the role of repairing cells is more obvious [<xref ref-type="bibr" rid="scirp.120806-ref15">15</xref>] , so we have strict technical standard control over the cultivation, management, detection and use of plants, and also pay attention to control the size and quantity of plants according to the equipment requirements.</p></sec></sec><sec id="s2_4"><title>2.4. CBE Plant Signal Processing Program</title><p>In the experiment, we processed the biological signals transferred by CBE technology as following <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p></sec><sec id="s2_5"><title>2.5. Experimental Methods</title><p>We used the TJQQ-ZDJTEQAM quantum resonance detector to determine the efficacy of plant information [<xref ref-type="bibr" rid="scirp.120806-ref16">16</xref>] , and screened out several groups of grains, vegetable hydroponic plants, and living traditional Chinese medicine plants that have high efficacy in improving patient function and are beneficial and harmless, as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>; the biological signal radiation power detector developed by us is applied, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. The radiation power of each plant can be used only after reaching a certain value.</p><p>In the above experimental equipment, different varieties and quantities of the above plants selected according to the experimenter’s different symptoms are used as information donors and placed on the special rack in the equipment, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(a) and <xref ref-type="fig" rid="fig3">Figure 3</xref>(b). The patients participating in the experiment receive plant signals for 40 min each time in the rehabilitation cabin, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(a), to realize the overall conditioning of the whole body and mind, and restore or improve the immune function. Patients generally need to lie still in the rehabilitation machine for 30 - 40 min, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(b). During this period, plant signals are directed to different parts of the patient’s body, so that cells in different organs can also receive signals. The experimenter of vision rehabilitation receives the selected plant information on the biological information vision self-healing rehabilitation machine for 30 min, as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(c). Some patients need to regulate the body biological field on the rehabilitation bed for 40 minutes to improve the function of body cell radiation signal and increase cell activity (i.e. detoxification in traditional Chinese Medicine), as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>(d). Generally, patients take 7 days as a course of treatment, and the cell recovery time is about 14 hours (7 dx 2h). However, patients with a long course of disease and older age need to be extended to 3 - 4 courses of treatment (21 - 28 dx 2h). Usually, young people or patients with short course of disease and less medication improve their function faster while those with older age and longer course of disease need to prolong the treatment time.</p></sec><sec id="s2_6"><title>2.6. Effect and Analysis</title><sec id="s2_6_1"><title>2.6.1. Improvement of Function and Symptoms</title><p>450 people participated in the experiment randomly. After 1 - 4 courses of cell information therapy (7 - 28 dx 2h), 405 of them improved their function and symptoms, as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>, the orange column area, accounting for 90% of the total number of people; among them, 256 people have obvious improvement, which is the blue column area, accounting for 57% of the total number. Another 10% did not improve, as shown in the light green column area in <xref ref-type="fig" rid="fig5">Figure 5</xref>, because no biological information donor plant for the patient’s disease was found.</p><p>It is very important to find the correct biological information donor plant for the patient’s disease. At present, we have accumulated some experience and related technical patents in this regard. <xref ref-type="fig" rid="fig6">Figure 6</xref> is a summary chart of the visual acuity test of a group of ten people after 6 days of cell information therapy. From the table, we can see that the vision of these ten people was significantly improved after 6 days of the therapy.</p></sec><sec id="s2_6_2"><title>2.6.2. Reduce the Risk of Major Diseases</title><p>Patients with chronic diseases and difficult diseases are at risk of cerebral infarction and myocardial infarction. Cell information therapy can quickly reduce the risk of these two common serious diseases. In order to protect against unexpected events, we use cardiovascular disease risk prediction equipment to test each patient before treatment. The above picture in <xref ref-type="fig" rid="fig7">Figure 7</xref> is a patient who was found to be at risk of stroke after 5 days of cell information treatment. The risk of stroke disappeared; the lower picture in <xref ref-type="fig" rid="fig7">Figure 7</xref> shows a patient who was at risk of myocardial infarction due to the discomfort of the heart area. After the electrocardiographic (ECG) examination, he was found to be in danger of myocardial infarction. Then after a course of cell information therapy, his ECG returned to normal and his suffering symptoms disappeared. So far, we have completed the experiment of more than 10,000 cases of chronic and critical patients, which not only did not have any medical accidents, but also extended the life of critical patients with quality.</p></sec><sec id="s2_6_3"><title>2.6.3. The “Three Highs” Indicators Have Dropped Significantly</title><p>The patients with chronic diseases participating in the experiment generally suffer from hypertension, hyperglycemia, hyperlipemia, low immunity and other diseases. Over the years, they have been taking various drugs and various treatments. The effect is not ideal, their physical functions are low, and even they can’t take care of themselves. After 3 - 4 courses of cell information therapy (21 - 28 dx 2h), their higher indexes decreased significantly, as shown in <xref ref-type="fig" rid="fig8">Figure 8</xref>. For example, when the patient’s blood pressure drops to about 120/90 mmHg and they start to stop or reduce the dosage, the blood pressure and other indicators will have different repetitions. Then continue the treatment, and it is found that the indicators gradually drop to the safe range. We can see from <xref ref-type="fig" rid="fig8">Figure 8</xref> that the decline of blood glucose and blood pressure has a fluctuating process and a nonlinear decline. At the same time, the experimenter’s diet, digestive function, physical fitness, sleep and other aspects have been significantly improved. Even patients who were unable to take care of themselves before in life have now become able to take care of themselves.</p></sec><sec id="s2_6_4"><title>2.6.4. Body Temperature Increased Significantly and Heart Function Improved</title><p>The previous research results of Chinese experts show that after the human body receives plant information, the immune function is improved [<xref ref-type="bibr" rid="scirp.120806-ref17">17</xref>] . <xref ref-type="fig" rid="fig9">Figure 9</xref> is</p><p>the result of testing by the Biology Teaching and Research Office of Hunan Medical University. The report shows that the number of NK and T cells increases significantly after the human body receives plant information. For this reason, we have also done the results of NK cell detection in 31 patients after receiving biological information, and found that there is also a significant increase, p &lt; 0.05; using TJQQ-ZDJTEQAM quantum resonance detector detection also found that the immune function has improved, p &lt; 0.001 [<xref ref-type="bibr" rid="scirp.120806-ref18">18</xref>] ; further, heart function was also significantly improved in patients with heart disease after receiving plant information [<xref ref-type="bibr" rid="scirp.120806-ref19">19</xref>] . Taking these results into consideration, in this experiment, the patient’s body temperature was monitored every day before and after health care treatment. From <xref ref-type="fig" rid="fig8">Figure 8</xref>, we can see that the patient’s body temperature was low before health care, and the body temperature increased significantly after health care. After treatment, the body temperature increased</p><p>by more than 90%. This increase in body temperature indicates that the patient’s immunity has been improved and improved significantly. This shows that the research results of this experiment are consistent with the previous research results, indicating that information therapy is indeed to possess the effect of significantly improving the immune function and heart function of the human body.</p></sec><sec id="s2_6_5"><title>2.6.5. Self-Healing, Rehabilitation of Human Function and Reversing Cellular Aging</title><p>The relevant results of previous information experiments also show that plant information can significantly improve or enhance the functions of human digestion, grip strength, physical fitness, vision and sexual desire, which is the performance of reversing human cell aging. In 2019, we cooperated with Guangzhou Jinshaiyou hospital and used our technology and equipment to conduct a clinical experiment to restore the male function of patients with chronic diseases. Before treatment, the patients with chronic diseases who participated in the experiment almost lost their male function. After 1 - 3 courses of cell information therapy, their sexual function was restored to varying degrees without adverse reactions. On October 20, 2019, a Guangdong andrology expert appraisal meeting was held in Guangzhou Biological Island. The experts at the meeting fully affirmed our “cooperative clinical experiment” and believed that this new information therapy can significantly improve the male function of patients with chronic diseases.</p><p>In the course of this treatment, more than 90% of the patients have improved appetite, increased grip strength, increased physical fitness, improved vision, sexual function, etc.; their skin has become moist and bright, the wrinkles on the face are reduced, and the ratio of beard to hair turns out that the growth is fast, and even the hair of the elderly in the 80s is obviously darkened. These improved effects show that cell information therapy can reverse cellular aging and achieve a certain degree of rejuvenation in the human body.</p></sec><sec id="s2_6_6"><title>2.6.6. Cell Function Improvement</title><p>Using the SCIO biofeedback instrument (Certified Drug (Jin) Letter 2012 No. 2213148 of the China Food and Drug Administration) for cell function detection, the improvement of cell function can be judged, as shown in <xref ref-type="table" rid="table1">Table 1</xref>. The values in the chart are the results of the comparison before and after cell information therapy. Different colors and values represent different functional states of cells; red means high values indicate that the cell function is in danger or sick. When the color in the chart on the right changes, the value becomes smaller, or the color becomes lighter, or the red disappears, it means that the cell function is restored. We believe that diseases all start from the decline of cell function. The signals that are transferred to human cells through CBE technology can directly pass through different cells of the human body without obstacles. The cells can choose to absorb the information they need. After receiving a certain amount of information, the problematic cells recover their function and communicate the information inside and outside the cells, so all kinds of cell-related diseases have been recovered or even cured. The test results can be seen in Tables 1-3 below.</p><p><xref ref-type="table" rid="table1">Table 1</xref> shows the comparison of the data detected by SCIO biofeedback instrument before and after treatment. From the color and data, we can see the improvement or significant improvement of the patient’s cells after treatment. <xref ref-type="table" rid="table2">Table 2</xref> shows the comparative data of cell biochemical tests and follow-up records of a group of patients in Taiwan region, China before and after cell therapy. Those patients go to Taiwan region hospital for examination before and after treatment, so the data in the table is different from that in Chinese Mainland. We can see from the data that the cell biochemical test data of Taiwan region patients have significantly improved after treatment. The follow-up one to three years also found that the response effect is getting better and better. <xref ref-type="table" rid="table3">Table 3</xref> is a comparative report of biochemical test data of a 4-year-old girl with gene mutation before and after cell therapy. From the data, many cell functions of the little girl have been significantly improved. In conclusion, the changes of the above cell data show that cell information therapy is that plant information restores the function of cells. The general procedure for the end of cell information therapy is: patients should go to the corresponding hospital for testing 1 - 2 months after the end of their health care course, then return to the self-healing and rehabilitation center, submit the test report of the corresponding hospital, and then do the cell function test, and do the same test requirements one year later to judge the effect.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison table of cell function test reports</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="8"  >Name: Song Age: 54 Gender: Man first test: 2021/11/23 Second test: 2021/11/27</th></tr></thead><tr><td align="center" valign="middle"  colspan="8"  >Detection equipment: cell information detector</td></tr><tr><td align="center" valign="middle"  colspan="8"  >Test instructions: 1) Do a test before conditioning, and then do a test after conditioning, and compare the results of the two tests 2) Red: the cell function is significantly reduced; Yellow and dark yellow indicate varying degrees of decline in cell function</td></tr><tr><td align="center" valign="middle" >Project name</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >Later</td><td align="center" valign="middle" >Evaluation of effects</td><td align="center" valign="middle" >Project name</td><td align="center" valign="middle" >Before</td><td align="center" valign="middle" >Later</td><td align="center" valign="middle" >Evaluation of effects</td></tr><tr><td align="center" valign="middle" >Risk of vascular damage to the brain</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >Substantial improvement</td><td align="center" valign="middle" >Function of tendon</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >Substantial improvement</td></tr><tr><td align="center" valign="middle" >Poor circulation</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Risk of fibrositis</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Lung function</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >2.9</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >The lumbar spine</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >2.2</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >The small intestine function</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >2.1</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Risk of abnormal cholesterol metabolism</td><td align="center" valign="middle" >3.2</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >Substantial improvement</td></tr><tr><td align="center" valign="middle" >Jejunum function</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Alanine deficiency</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Indigestion</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Magnesium deficiency</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >3.2</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Protein dyspepsia</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Deficiency of the mineral calcium</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Disturbance of intestinal flora</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >Substantial improvement</td><td align="center" valign="middle" >Mineral potassium deficiency</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Hormone imbalance</td><td align="center" valign="middle" >4.4</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Vitamin C deficiency</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >Substantial improvement</td></tr><tr><td align="center" valign="middle" >Testosterone</td><td align="center" valign="middle" >4.4</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >Substantial improvement</td><td align="center" valign="middle" >Deficiency of vitamin B1</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Endocrine disorder</td><td align="center" valign="middle" >4.5</td><td align="center" valign="middle" >3.3</td><td align="center" valign="middle" >Improvement</td><td align="center" valign="middle" >Vitamin E deficiency</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >2.1</td><td align="center" valign="middle" >Improvement</td></tr><tr><td align="center" valign="middle" >Thyroid stimulating ormone releasing hormone</td><td align="center" valign="middle" >4.5</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >Substantial improvement</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec></sec><sec id="s2_7"><title>2.7. Evaluation of the Effect of Cell Information Therapy</title><p>Qian Xuesen, a famous Chinese scholar, once put forward this view: the human body is an open giant complex system. Neither the Prigogine method nor the Haken method can be used to study it. Those methods cannot be used. Only the qualitative to quantitative comprehensive integration method can be used, that is, the general principles of system theory method can be combined with the</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of biochemical examination reports of Taiwan region patients before and after cellular information therapy. Red: outlier light; blue: improved; dark blue: significantly improved green: normal</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >No</th><th align="center" valign="middle" >Name</th><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >Age</th><th align="center" valign="middle" >Project</th><th align="center" valign="middle" >Date of examination</th><th align="center" valign="middle" >Prior treatment</th><th align="center" valign="middle" >Date of examination</th><th align="center" valign="middle" >After treatment</th><th align="center" valign="middle" >Normal values</th><th align="center" valign="middle" >Track record</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >1</td><td align="center" valign="middle"  rowspan="4"  >Li</td><td align="center" valign="middle"  rowspan="4"  >Man</td><td align="center" valign="middle"  rowspan="4"  >76</td><td align="center" valign="middle" >Cholesterol</td><td align="center" valign="middle"  rowspan="4"  >2010.2.26</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle"  rowspan="4"  >2010.3.12</td><td align="center" valign="middle" >4.9</td><td align="center" valign="middle" >2.9 - 5.2</td><td align="center" valign="middle"  rowspan="4"  >2011.8—good 2012.9—good</td></tr><tr><td align="center" valign="middle" >Intermediate cell content</td><td align="center" valign="middle" >17.6</td><td align="center" valign="middle" >14.7</td><td align="center" valign="middle" >3 - 16</td></tr><tr><td align="center" valign="middle" >Absolute value of neutrophil</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >2 - 7</td></tr><tr><td align="center" valign="middle" >Neutrophil percentag</td><td align="center" valign="middle" >43.52</td><td align="center" valign="middle" >50.6</td><td align="center" valign="middle" >50 - 70</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >2</td><td align="center" valign="middle"  rowspan="4"  >Zheng</td><td align="center" valign="middle"  rowspan="4"  >Man</td><td align="center" valign="middle"  rowspan="4"  >60</td><td align="center" valign="middle" >Uric acid</td><td align="center" valign="middle"  rowspan="4"  >2011.2.15</td><td align="center" valign="middle" >8</td><td align="center" valign="middle"  rowspan="4"  >2011.3.11</td><td align="center" valign="middle" >7.7</td><td align="center" valign="middle" >4 - 7.5</td><td align="center" valign="middle"  rowspan="4"  >2012.9—good</td></tr><tr><td align="center" valign="middle" >Blood sugar before meal</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >70 - 100</td></tr><tr><td align="center" valign="middle" >Total cholesterol</td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >206</td><td align="center" valign="middle" >&lt;200</td></tr><tr><td align="center" valign="middle" >LDL cholesterol</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >&lt;100</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >3</td><td align="center" valign="middle"  rowspan="3"  >Shi</td><td align="center" valign="middle"  rowspan="3"  >Woman</td><td align="center" valign="middle"  rowspan="3"  >54</td><td align="center" valign="middle" >Triglyceride</td><td align="center" valign="middle"  rowspan="3"  >2011.2.15</td><td align="center" valign="middle" >202</td><td align="center" valign="middle"  rowspan="3"  >2011.3.11</td><td align="center" valign="middle" >176</td><td align="center" valign="middle" >&lt;150</td><td align="center" valign="middle"  rowspan="3"  >2012.9—good</td></tr><tr><td align="center" valign="middle" >Total cholesterol</td><td align="center" valign="middle" >216</td><td align="center" valign="middle" >169</td><td align="center" valign="middle" >&lt;200</td></tr><tr><td align="center" valign="middle" >LDL cholesterol</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >&lt;100</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >4</td><td align="center" valign="middle"  rowspan="2"  >Yan</td><td align="center" valign="middle"  rowspan="2"  >Man</td><td align="center" valign="middle"  rowspan="2"  >64</td><td align="center" valign="middle" >Total cholesterol</td><td align="center" valign="middle"  rowspan="2"  >2010.2.18</td><td align="center" valign="middle" >212</td><td align="center" valign="middle"  rowspan="2"  >2010.4.2</td><td align="center" valign="middle" >172</td><td align="center" valign="middle" >0 - 200</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >Blood sugar before meal</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >70 - 100</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >5</td><td align="center" valign="middle"  rowspan="4"  >Feng</td><td align="center" valign="middle"  rowspan="4"  >Man</td><td align="center" valign="middle"  rowspan="4"  >64</td><td align="center" valign="middle" >Cholesterol</td><td align="center" valign="middle"  rowspan="4"  >2010.02.15</td><td align="center" valign="middle" >236</td><td align="center" valign="middle"  rowspan="4"  >2010.03.10</td><td align="center" valign="middle" >217</td><td align="center" valign="middle" >135 - 200</td><td align="center" valign="middle"  rowspan="4"  >2012.9—good 2015.3—good</td></tr><tr><td align="center" valign="middle" >Triglyceride</td><td align="center" valign="middle" >168</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >50 - 150</td></tr><tr><td align="center" valign="middle" >Blood sugar before meal</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >70 - 110</td></tr><tr><td align="center" valign="middle" >White blood cells</td><td align="center" valign="middle" >10,800</td><td align="center" valign="middle" >9400</td><td align="center" valign="middle" >4500 - 10,000</td></tr><tr><td align="center" valign="middle"  rowspan="7"  >6</td><td align="center" valign="middle"  rowspan="7"  >Lin</td><td align="center" valign="middle"  rowspan="7"  >Woman</td><td align="center" valign="middle"  rowspan="7"  >57</td><td align="center" valign="middle" >TSH</td><td align="center" valign="middle"  rowspan="7"  >2011.11.11</td><td align="center" valign="middle" >92.217</td><td align="center" valign="middle"  rowspan="7"  >2011.11.21</td><td align="center" valign="middle" >11.221</td><td align="center" valign="middle" >0.35 - 5.5</td><td align="center" valign="middle"  rowspan="7"  >2012.9—good 2014.10—good</td></tr><tr><td align="center" valign="middle" >LDL-C (calc)</td><td align="center" valign="middle" >*TG &gt; 400</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >&lt;100</td></tr><tr><td align="center" valign="middle" >T-CHOL/HDL-C</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >4.56</td><td align="center" valign="middle" >&lt;5</td></tr><tr><td align="center" valign="middle" >Total cholesterol</td><td align="center" valign="middle" >520</td><td align="center" valign="middle" >228</td><td align="center" valign="middle" >&lt;200</td></tr><tr><td align="center" valign="middle" >Blood fat</td><td align="center" valign="middle" >2586</td><td align="center" valign="middle" >186</td><td align="center" valign="middle" >&lt;100</td></tr><tr><td align="center" valign="middle" >Mean RBC volume MCV</td><td align="center" valign="middle" >92.8</td><td align="center" valign="middle" >92.2.</td><td align="center" valign="middle" >80 - 92 fl</td></tr><tr><td align="center" valign="middle" >White blood cell count WBC</td><td align="center" valign="middle" >3.2</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >(4 - 9) &#215; 10<sup>9</sup>/L</td></tr></tbody></table></table-wrap><p>development of computer-based modern information technology to form a specific method system, To solve the problem of such a complex giant system as the human body [<xref ref-type="bibr" rid="scirp.120806-ref20">20</xref>] . The process of this experiment described above follows the</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparison of biochemical test reports of the patient</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Date of examination</th><th align="center" valign="middle" >2020/10/22</th><th align="center" valign="middle"  rowspan="2"  >Reference value</th><th align="center" valign="middle" >2021/4/8</th><th align="center" valign="middle"  rowspan="2"  >Reference value</th><th align="center" valign="middle" >2021/5/13</th><th align="center" valign="middle"  rowspan="2"  >Reference value</th></tr></thead><tr><td align="center" valign="middle" >Project</td><td align="center" valign="middle" >Former</td><td align="center" valign="middle" >In the treatment</td><td align="center" valign="middle" >After</td></tr><tr><td align="center" valign="middle" >The urea</td><td align="center" valign="middle" >2.61</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2.36</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.96</td><td align="center" valign="middle" >2.9 - 8.2</td></tr><tr><td align="center" valign="middle" >Creatinine</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >27</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >45 - 84</td></tr><tr><td align="center" valign="middle" >Uric acid</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >243</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >155 - 357</td></tr><tr><td align="center" valign="middle" >Bicarbonate root</td><td align="center" valign="middle" >22.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >22.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24.7</td><td align="center" valign="middle" >22 - 29</td></tr><tr><td align="center" valign="middle" >Endogenous creatinine clearance</td><td align="center" valign="middle" >147.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >134.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >108.8</td><td align="center" valign="middle" >75 - 115</td></tr><tr><td align="center" valign="middle" >The elf inhibition C</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >0 - 1.03</td></tr><tr><td align="center" valign="middle" >Retinol binding protein</td><td align="center" valign="middle" >24.7</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >30.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >25.9</td><td align="center" valign="middle" >25 - 70</td></tr><tr><td align="center" valign="middle" >Albumin/globulin</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >1.5 - 2.5</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >1.2 - 2.4</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >1.2 - 2.4</td></tr><tr><td align="center" valign="middle" >Y-glutamyl transpeptidase</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >0 - 50</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >0 - 50</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >0 - 50</td></tr><tr><td align="center" valign="middle" >Alanine aminotransferase</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >7 - 45</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >7 - 45</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >7 - 45</td></tr><tr><td align="center" valign="middle" >Ratio of millet straw to mille propyl</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Before the albumin</td><td align="center" valign="middle" >138.5</td><td align="center" valign="middle" >250 - 400</td><td align="center" valign="middle" >161</td><td align="center" valign="middle" >250 - 400</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >170 - 420</td></tr><tr><td align="center" valign="middle" >Cholinesterase</td><td align="center" valign="middle" >2965</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3752</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5000 - 12,000</td></tr><tr><td align="center" valign="middle" >Aspartate aminotransferase</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >13 - 40</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >13 - 40</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >13 - 40</td></tr><tr><td align="center" valign="middle" >Total bile acid</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.7</td><td align="center" valign="middle" >0 - 10</td></tr><tr><td align="center" valign="middle" >Alkaline phosphatase</td><td align="center" valign="middle" >369</td><td align="center" valign="middle" >40 - 750</td><td align="center" valign="middle" >352</td><td align="center" valign="middle" >40 - 750</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >20 - 500</td></tr><tr><td align="center" valign="middle" >Lactic acid</td><td align="center" valign="middle" >11.54</td><td align="center" valign="middle" >12 - 16</td><td align="center" valign="middle" >1.55</td><td align="center" valign="middle" >0.63 - 2.44</td><td align="center" valign="middle" >1.87</td><td align="center" valign="middle" >0.63 - 2.44</td></tr><tr><td align="center" valign="middle" >Plasma ammonia determination</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >18 - 72</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >18 - 72</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >18 - 72</td></tr><tr><td align="center" valign="middle" >Activated partial thrombin time</td><td align="center" valign="middle" >42.7</td><td align="center" valign="middle" >23 - 40</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >23 - 40</td><td align="center" valign="middle" >33.6</td><td align="center" valign="middle" >23 - 40</td></tr><tr><td align="center" valign="middle" >Fibrinogen</td><td align="center" valign="middle" >2.19</td><td align="center" valign="middle" >2 - 5</td><td align="center" valign="middle" >1.83</td><td align="center" valign="middle" >2 - 5</td><td align="center" valign="middle" >1.78</td><td align="center" valign="middle" >2 - 5</td></tr><tr><td align="center" valign="middle" >Prothrombin time</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >9 - 15</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >9 - 15</td><td align="center" valign="middle" >12.8</td><td align="center" valign="middle" >9 - 15</td></tr><tr><td align="center" valign="middle" >International standardized ratio</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >0.8 - 1.4</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >0.8 - 1.4</td><td align="center" valign="middle" >1.09</td><td align="center" valign="middle" >0.8 - 1.4</td></tr></tbody></table></table-wrap><p>Note: red is abnormal item, green is improved item after treatment; no filling color is within the normal value range.</p><p>principle of comprehensive integration method to deal with and solve the problems of this experiment. In fact, the patients who randomly participated in the cell therapy experiment in this experiment are patients with chronic or difficult diseases who have failed to be treated for a long time by modern medical treatment, and they all suffer from a variety of diseases and can’t even take care of themselves. The comparative data of the improvement of various functional test results after their own experiment is a convincing proof. Therefore, the identification of this experimental effect attempts to use the method from qualitative to quantitative, and then use the comprehensive integration method to compare the same body effect. The participants of cell therapy take videos and photos for qualitative comparative observation before and after each course of treatment. Each time, they make detailed medical records, enter into the database, and analyze, evaluate and track the effect.</p></sec></sec><sec id="s3"><title>3. Conclusions and Prospect</title><p>1) In this experiment, the improvement of multiple functions of patients is parallel to the results of cell biochemistry and other tests, and there are follow-up effects, which shows that: the macro and micro effects of patients have achieved self-healing and rehabilitation, and the process can be carried out at the cell level, that is, cell information therapy has achieved both symptoms and root causes, which is an effect that is difficult to achieve in general medical treatment.</p><p>2) Many chronic diseases and intractable diseases belong to polygenic problems, thus becoming medical and health problems. The results of the rapid and obvious improvement of the patient’s function by plant information in this experiment show that the cell information therapy has a certain repair effect on the patient’s genes not only at the cellular level but also at the gene level. In this experiment, we found that if the plant information is compensated for the human body in time, it can reverse human aging to some extent.</p><p>3) The cell information therapy in this experiment is aimed at patients using plant formulas to transmit plant information. Human organs and cells receive some biophysical signals of plant radiation. Under the effective control of plant formulas, these signals have no adverse effects on human organs and cells. Of course, continuously exploring and improving the “prescription” of plant information combination should be an important direction of future research.</p></sec><sec id="s4"><title>Acknowledgements</title><p>The author thanks the Science and Technology Committee of Liaoning Old Professors Association and Shenzhen Health Management Association for their support!</p></sec><sec id="s5"><title>Availability of Data and Materials</title><p>The datasets obtained and analyzed for this study will be made available from the corresponding author in a reasonable request.</p></sec><sec id="s6"><title>Authors’ Information</title><p>Xinzhou Yuan, Iafeng Yuan, Qiao Bi, and Kongzhi Song are researchers in the Shenzhen Xinzhou Biological Information Technology Co., LTD., Zip code: 518115, Shenzhen, China.</p></sec><sec id="s7"><title>Contributions</title><p>Xinzhou Yuan, Jafeng Yuan, Qiao Bi, and Kongzhi Song wrote the main manu-script text, and Xinzhou Yuan and Jafeng Yuan prepared the experimental data, forms and related figures. Four authors all reviewed the manuscript.</p></sec><sec id="s8"><title>Consent for Publication</title><p>All authors contributed to the article and approved the submitted version for publication.</p></sec><sec id="s9"><title>Funding</title><p>This study is supported by the Shenzhen Xinzhou Biological Information Technology Co., LTD. The Shenzhen Xinzhou Biological Information Technology is a high tech company.</p></sec><sec id="s10"><title>Competing Interests</title><p>There are no competing interests with this article.</p></sec><sec id="s11"><title>Cite this paper</title><p>Yuan, X.Z., Yuan, J.F., Bi, Q. and Song, K.Z. (2022) Study on Plant Radiation Signal Transduction for Human Self-Healing. Open Journal of Biophysics, 12, 265-283. https://doi.org/10.4236/ojbiphy.2022.124013</p></sec></body><back><ref-list><title>References</title><ref id="scirp.120806-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Gu, Q. (2014) Biophotonics. 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