69 results about "Diseases onset" patented technology

The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of signal at selected values in k-space, with multiple successive acquisitions at individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only signal values at select places in k-space, along selected directions, enables much higher in vivo resolution than is obtainable with current MRI techniques.

The invention discloses a processing system of human body health data and a method thereof. The processing system comprises an acquisition unit, a first processing unit, a second processing unit, a computing unit and an output unit. The acquisition unit is used for obtaining physical sign data of healthy state of an individual through an APP application; the first processing unit is used for carrying out healthy features construction on the physical sign data by using a vector space modal; the second processing unit is used for extracting features, constructing a data set, and detecting denoising and reconstitution of the data through the features; the computing unit is used for digging and determining healthy impact factors which impact the corresponding individual; the output unit is used for generating a healthy analysis result of the corresponding individual as well as information about guidance and suggestions. The processing system of human body health data and the method thereof have the advantages that through techniques such as data automatic detection, mobile computing, information extraction, association digging, neutral network and machine learning, determining individual health state and developmental tendency from individual health data, conducting continuously trailing and real-time warning, analyzing healthy impact factor, promoting individual health level, carrying out prevention before disease onset, preventing disease from exacerbating and guiding the individual to adopt a most appropriate health behavior. The processing system of human body health data and method thereof are very convenient to realize.

The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in-vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of selected values in k-space, with multiple successive acquisitions of individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only select values in k-space along selected directions, enables much higher in-vivo resolution than is obtainable with current MRI techniques.

The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in-vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of selected values in k-space, with multiple successive acquisitions of individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only select values in k-space along selected directions, enables much higher in-vivo resolution than is obtainable with current MRI techniques.

The present invention relates to a method for identifying a DNA breakpoint and agents for use therein. More particularly, the present invention provides a method for identifying a gene translocation breakpoint based on the application of a novel multiplex DNA amplification technique. The method of the present invention facilitates not only the identification of the breakpoint position but, further, enables the isolation of the DNA segment across which the breakpoint occurs. This provides a valuable opportunity to conduct further analysis of the breakpoint region, such as to sequence across this region. The method of the present invention is useful in a range of applications including, but not limited to, providing a routine means to characterise the gene breakpoint associated with disease onset in a patient and thereby enable the design of patient specific probes and primers for ongoing monitoring of the subject disease condition. In addition to monitoring the progression of a condition characterised by the existence of the breakpoint, there is also enabled assessment of the effectiveness of existing therapeutic drugs and/or new therapeutic drugs and, to the extent that the condition is a neoplasm, prediction of the likelihood of a subject's relapse from a remissive state.

The invention discloses a qi-blood body fluid network dynamic identification device and method for biological information of salivary secretion, sweating and urine excretion. The identification device is composed of microcosmic camera of mouth cavity and a tongue, a lingual surface blood flow detection device, an impedance blood flow detection device for the inner sides of two cheeks and the tongue, a calibration siphon capillary and a body fluid collection tube; dynamically acquiring and contrastively analyzing physicochemical and physiological features of salivary secretion, sweating, blood flow and urine excretion, the relevance ratio of iconic substances and the like; and establishing information obtained by the device and a multilevel topology network of four diagnostic methods information. A statistical identification mode or a BP (Back Propagation) neural network identification mode by virtue of qi, blood, clear fluid and liquid of traditional Chinese medicine, so that a new network identification mode, with multiple information fusion, of correlation of all four examinations of the traditional Chinese medicine. The device and the method can be used for the identification of the health condition and qi-blood body fluid and clinical diagnosis and treatment, can be also used for prevention before disease onset and scientific researches.

The present disclosure relates to a method and an apparatus for predicting an outbreak of disease. An exemplary embodiment of the present disclosure provides a disease outbreak predicting method including: receiving original data including a plurality of fields from at least one external database; generating processing data, wherein each of processing data represents one medical treatment or one health examination as one event in accordance with a predetermined criteria based on the original data; inputting the processing data into a disease outbreak predicting model; and calculating a disease outbreak probability for at least one disease using the disease outbreak predicting model. The present disclosure provides a disease outbreak predicting method and a disease outbreak predicting apparatus which represent various types of health related data as one event to input various data to a disease outbreak predicting model.

Infection by Chlamydia pneumoniae has been identified as a risk factor associated with the pathogenesis of certain chronic intraocular disorders, for example, age-related macular degeneration. The invention provides methods of identifying individuals at risk of developing chronic intraocular disorders, and methods of delaying and/or preventing the onset of such chronic intraocular disorders.

The invention provides application of an antibiotic substitute drug melatonin in preventing the infection of meningitis escherichia coli pathogens on child patients. Meningitis-type escherichia coli is separated and identified from muscovy duck cerebrospinal fluid, a meningitis model of 3-week-old ICR mice is constructed for the first time by utilizing the strain, and the successful construction of the mouse meningitis model is evaluated from the aspects of neurological symptom scoring, mortality difference statistics, the damage degree of a blood-brain barrier, expression of meningitis-related inflammatory factors and the like respectively. With antibiotics as references, the mice are treated with the melatonin and the four combined antibiotics respectively, one week later, the disease onset conditions of the meningitis mice are detected, results show that through the melatonin and the combined use of the antibiotics, the neurological symptoms of the meningitis mice can both be reduced, the survival rate of the meningitis mice is increased, integrity keeping of the blood-brain barrier is promoted by the melatonin, the invasion of inflammatory cells into the central nervous systemis reduced, the disease onset of the meningitis in the mice is prevented through the function of the brain-gut axis, and a new antibiotic substitute and treatment strategy are provided for preventingneonatal meningitis diseases.

The invention discloses a dampness-eliminating traditional Chinese medicine composition for treating cold and cough and a preparing method thereof, and relates to the technical field of traditional Chinese medicines. The traditional Chinese medicine composition comprises, by weight, 5-12 parts of herba elsholtziae, 7-15 parts of herba schizonepetae, 15-25 parts of Chinese wax gourd peel, 7-15 parts of dried tangerine peel, 5-12 parts of blackberrykiky rhizome, 10-18 parts of bulbus fritillariae cirrhosae, 5-12 parts of platycodon grandiflorum, 10-18 parts of folium eriobotryae, 10-18 parts of folium mori, 10-18 parts of saxifraga stolonifera, 5-12 parts of cortex magnoliae officinalis and 5-12 parts of licorice root. The various natural traditional Chinese medicine raw materials are preferentially selected for use in cooperation to have the functions of dispelling wind and heat, dispelling wind and relieving exterior syndromes, eliminating dampness and eliminating phlegm, removing heat from the lung to relieve cough, eliminating phlegm and relieving asthma, and clearing heat and relieving sore throat; the traditional Chinese medicine composition can be used for treating the influenza fever, headache and cough, muscular stiffness, throat dryness and pains and other symptoms, is suitable for the cold incubation period or disease onset period, can effectively prevent the cough, throat swelling and pains and other symptoms caused by cold in the later period, and is precise in treatment effect, safe and free of side effects.

The invention discloses a cerebrovascular disease high-risk population risk prediction method based on climatic factors. At present, research and application of cerebrovascular disease onset prediction which is specially designed for cerebrovascular disease onset data analysis and is combined with climate factor data do not exist. The method comprises the following steps: firstly, acquiring and preprocessing data; dividing climate factor indexes, and screening influence significant climatic factor indexes; substituting the number of patients with various cerebrovascular diseases and the corresponding characteristic climate factor indexes into a CME cross map scoring framework; calculating the CME score S (tau) to obtain a relation curve of the time delay tau and the S (tau); and taking thetime point corresponding to the point with the highest S (tau) as the predicted time point with the highest cerebral vascular disease onset risk in a future period of time in the time sequence. According to the invention, climate factors can be effectively analyzed, the attack risk degree of cerebrovascular disease high-risk groups can be predicted, scientific guidance is provided for medical experiment verification, and the disease early warning efficiency is improved.

A method and composition for preventing prostate cancer and/or reducing PSA levels and/or alleviating the symptoms of BPH (Benign Prostatic Hyperplasia) or PIN (prostatic intraepithelial neoplasia) by administration of an effective amount of a mixture of flavopereirine and alstonine. A method and composition for treating low-grade prostate cancer and preventing the onset of metastatic disease and/or reducing the doubling time of PSA levels in men with positive biopsies showing relatively low Gleason scores and morphologies characteristic of non-invasive, slow-progressing prostate cancer. The flavopereirine and alstonine can be in the form of natural extracts derived from Pao Pereira and Rauwolfia Vomitoria, respectively. Alternatively, these two active compounds can be administered in purified form. The composition can be in included in a kit along with instructions for use in a treatment regimen.

Given free recall or recognition test results of normal and disease populations, the present innovation provides methods for determining how close a single test subject is to the profile of a diseased population. The methods use the total items remembered and a defined recency-primacy shift to determine how similar the test subject is to a disease population. The methods are well defined and do not involve any “tinkering”.