166 results about "Complex disease" patented technology

The present invention discloses a cancer-related genes finding method by using miRNA expression data, based on a pan-cancer program PanCancer under The Cancer Genome Atlas (TCGA), and uses statistical analysis and a machine learning algorithm to carry out analysis and processing on the gene expression data, and to identify complex diseases related genes. The method comprises: sorting out sample data; carrying out statistical analysis on the miRNA expression data; sorting miRNA in order of an average change rate; selecting a target gene; extracting a corresponding disease sample and normal sample; and using a Relief algorithm to sort genes in the extracted miRNA sample. The method disclosed by the present invention can find a plurality of risk genes related to cancer and other complex diseases, and has important significance to a biological target therapy, biomedical research, pathogenesis explanation, risk prediction, and the like.

The invention provides an analysis system, apparatus and method for assisting disease diagnosis and treatment. The analysis system for assisting disease diagnosis and treatment comprises a client and a server. The client is used for receiving and transmitting identification information of an individual to be analyzed to the server, and displaying assisted diagnosis and treatment information returned by the server. The server is used for receiving the identification information of the individual to be analyzed, searching a clinical information database and a biological information database according to the identification information of the individual to be analyzed to respectively obtain clinical information and individual biological information of the individual to be analyzed, analyzing the individual biological information of the individual to be analyzed according to the biological information database, and obtaining corresponding assisted diagnosis and treatment information according to the analyzed result. The analysis system for assisting disease diagnosis and treatment can provide early warning of gene risks and provide a basis of assisted diagnosis and treatment for clinicians. In addition, the invention can be also applied to various research areas of different complex disease, and has a broad range of application.

The invention provides a bridge bearing disease identification method based on transfer learning between convolutional neural networks. The method comprises the steps that bridge bearing disease photos are acquired, and label information is assigned to each photo; an image processing method is used to increase the volume of data used for training the convolutional neural networks; all pictures ina training set and a test set are scaled to color pictures of a predetermined size, and image preprocessing is carried out; a convolutional neural network model which is trained on other data sets isacquired; and a knowledge transfer method is used to acquire a convolutional neural network model with the function of automatic bridge bearing disease identification. According to the automatic bridge bearing disease identification method based on the convolutional neural networks, the convolutional neural networks trained in a knowledge transfer mode have obvious advantages in accuracy and convergence speed; the volume of data required for training the neural networks is greatly reduced; and the method is of practical significance for bridge bearing diseases with complex disease scenes and difficult data collection.

The invention discloses a method for utilizing machine learning to predict a complex disease susceptibility locus. The method comprises the following steps of 1, collecting a known complex disease susceptibility locus as a positive set of a machine learning model, predicting a locus irrelevant to a complex disease according to the positive set as a negative set, and annotating an epigenetic regulation element; 2, utilizing machine learning to establish a complex disease epigenetic model; 3, predicting all loci in a whole-genome range according to the established model to obtain a final prediction result as a potential susceptibility locus of the complex disease. According to the method for utilizing machine learning to predict the complex disease susceptibility locus, epigenetic information and genome DNA information are combined, epigenetic element features are extracted through machine learning, the susceptibility locus of the complex disease is further predicted in a whole-genome range, heritability explained by the found susceptibility locus can be obviously improved, and a potential target is provided for subsequent medicine design and disease detection.

The invention discloses a method and a system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of the rectal cancer related genes, and an application. Based on the public data resources, open big data resources and diversified bioinformatics analysis means are reasonably used for performing analysis processing on mRNA expression data, and important genes related to complex diseases and functions of the important genes are identified. The method comprises the steps of sample data downloading and management; gene expression data analysis; difference expression gene screening; and gene function analysis and protein interaction analysis. According to the method and the system, the problems of weakness in integrating existing network resources, unfamiliarity with mRNA related most common databases and frontal analysis methods, incapability of independently finishing mRNA expression spectrum related bioinformatics analysis and the like can be solved; a plurality of risk pathways and genes related to the complex diseases such as the rectal cancer and the like can be discovered; and the method and the system are of important significance for biological targeted treatment of the complex diseases, biological drug research and development, pathogenesis explanation and risk prediction.

The invention relates to a comprehensive genetic analysis method of susceptibility of complex diseases, which comprises the following steps: 1) establishing related genetic databases of complex diseases and determining related detection sites; 2) carrying out genotyping for SNPs sites within individual whole genome by using the Affymetrix6.0 chip technology to obtain the corresponding genotype of each SNP site; 3) exporting determined disease-related SNP site typing results from 900,000 SNP site detection results of a 6.0 chip, and calculating a CGR value according to the genotyping results; and 4) carrying out particular and deep genetic analysis for increased-risk diseases and high-risk diseases according to the calculated disease-related CGR value. The invention can improve the certainty of the susceptibility predication of complex diseases of Chinese Han population, shortens genetic analysis time and prevents calculation errors caused by manual calculation.

The invention discloses a Chinese medicinal composition for treating cervical spondylosis and a preparation method thereof. The Chinese medicinal composition for treating cervical spondylosis comprises the following components: astragalus root, licorice, bupleurum, ephedra, Szechuan lovage rhizome, suberect spatholobus stem, safflower, bunge auriculate root, angelica, pseudo-ginseng, kudzuvine root, white peony root, notopterygium root, cortex phellodendri, pilose asiabell root, frankincense, clove, cinnamon, turmeric, divaricate saposhnikovia root, mustard seeds, pubescent angelica root, carbonized human hair, nux vomica, ephedra, angelica dahurica, rhizoma sparganii, eucommia bark, kudzuvine root, tall gastrodia tuber and peach seeds. The preparation method comprises the steps of making each component into a thick paste, then mixing all the thick pastes and performing centrifugal spray to form paste powder. The Chinese medicinal composition for treating cervical spondylosis, disclosed by the invention, has the advantages that multiple medicinal materials are appropriately matched with one another, and based on the synergistic or resistant effect among the medicinal materials, the treatment effect is improved, the requirement for treating complex diseases is met, adverse responses are reduced, and the Chinese medicinal composition is significant in treatment effect, safe, reliable and simple in use and has a good treatment effect on the cervical spondylosis.

The invention discloses a traditional Chinese medicine composition, in particular a traditional Chinese medicine composition for treating breast hyperplasia and a preparation method of the composition. The traditional Chinese medicine composition is characterized by being made from: Bupleurum root, White Peony Root, selfheal, Cyperus rotundus, dried tangerine peel, radix curcumae, radix ranunculi ternati, rhizoma bolbostemmae, Iphigenieae, oysters, kelp, seaweed, Scrophularia, Scutellaria, fried frankincense, fried myrrh, the root of red-rooted salvia, Ligusticum wallichii, safflower and angelica. The traditional Chinese medicine composition is specially used for treating breast hyperplasia, a plurality of medicines are matched properly. With the mutual coordination or resistance of the medicines, the curative effect is enhanced to adapt to the treatment requirement of complex diseases and reduce adverse reaction. The traditional Chinese medicine composition is prominent in curative effect, addresses both symptoms and root causes, safe and reliable and has good treating effect on breast hyperplasia. Used for 240 cases totally, the composition reaches 98% of total effective rate.

The invention belongs to the technical field of data processing and discloses a method for constructing a double-layer gene regulation and control network. The method comprises following steps: analyzing expression data of an important regulation and control factor miRNA in a network; selecting miRNA relevant to multiple types of cancer by means of the statistics examination method; measuring Pearson correlation among the miRNA; ordering the miRNA according to the correlation and the number of controllable cancer, screening out strongly correlated miRNA and obtaining target genes thereof and interacting relations among the target genes. The present invention discloses the mechanism of gene and miRNA involved in the regulation of biological processes such as cancer and helps to understand the relationship between genes and cancer and other complex diseases and provides reference for the development of biopharmaceuticals and targeted therapy for pan-cancer. Identifying cancer-associated miRNAs and genes can be used to elucidate the mechanisms of cooperation that are involved in the regulation of key factors that influence a variety of cancer processes, cancer risk prediction, and the development of bio-targeted drugs.

The invention discloses a genome-wide SNP (single nucleotide polymorphism) site analysis method based on combination of random forest and Relief-F. The method includes: primarily screening SNP sites with a generalized linear model; processing SNP interactive capability with Relief-F; preliminarily putting SNP sites, which are interactive, to the front of a queue; ranking the SNP sites at the rear of the queue with the random forest to recognize edge action of each single SNP site so as to obtain an SNP rank queue; removing the SNP sites at the tail of the queue; performing processing again with the Relief-F and the random forest; allowing iteration to obtain a ranking result of the SNP sites. The method has the advantages that the action of each single SNP site and interaction of the SNP sites are comprehensively considered, genome-wide SNP data can be processed so as to find those related to complex diseases, and the method is significant to the research on pathogenesis of the complex diseases, prediction on risk of diseases, development of biological drugs and the like.

The invention belongs to the field of Chinese medicines and particularly discloses a Chinese medicine for treating rhinitis. The Chinese medicine consists of bupleurum chinense, siberian cocklour fruit, ligusticum wallichii, scutellaria baicalensis, tuckahoe, honeysuckle flower, divaricate saposhnikovia root, angelica dahurica, weeping forsythia, dried tangerine, chrysanthemum, Chinese magnoliavine fruit, small centipeda herb, biond magnolia flower, cassia twig, mint, dried ginger, and atractylodes lancea which serve as active ingredients in a certain weight part ratio. The Chinese medicine is specially used for treating rhinitis, multiple kinds of medicines are matched appropriately, and a curative effect is improved by using synergistic or resistant effects among the medicines to adapt to the treatment requirement of complex disease conditions, and reduce an adverse effect, and the Chinese medicine is safe and reliable, is easy to take and has a better curative effect on rhinitis. 80 patients are treated, and the total effective rate can reach 95 percent.

The invention provides a miRNA-based disease relation analysis method and device. The method includes: constructing miRNA functional information according to miRNA expression of patients with a targetdisease and a normal control group; acquiring disease class information; calculating between-class distance between the miRNA functional information and the disease class information; constructing acomposite network according to the between-class distance, and generating disease relation information corresponding to the target disease. The method is detailed and accurate in analysis result and high in applicability, can be applied to molecular complex disease complication prediction analysis related theoretical researches and various clinical complex disease recovery assessment and has important significance to analysis in biology and medical science related fields.

Provided are an anti-PD-L1/anti-PD-1 natural antibody structure-like heterodimeric bispecific antibody and a preparation thereof. In particular, provided are a highly stable heterodimeric anti-PD-L1/anti-PD-1 bispecific antibody with characteristics of a natural IgG and without mismatches heavy chain-light chain, and a preparation thereof. The bispecific antibody can bind to both target molecules and is more effective in treating a complex disease.

The invention provides a novel integrated pharmacology method. The method comprises the steps of differential expression gene identification and analysis, traditional Chinese medicine component database construction and ADME screening, identification of related compound targets, introduction and annotation of the compound targets, protein interaction network construction and analysis and moleculardynamics simulation and target fishing. The invention also provides an application of the novel integrated pharmacology method in the treatment of breast cancer by astragalus membranaceus. Multi-target effective components and targets are comprehensively modeled on the biological path and interaction network level, and the complex and multi-level interaction network is analyzed, so the interaction between the medicine and the specific node or module can be discovered, and a new target can be discovered; the detected target is more comprehensive and high in accuracy, and the multi-target characteristic of the traditional Chinese medicine intervention disease is effectively associated with the complex disease system.

The invention discloses a methoxyl flavonoids compound used as a drug for preventing and treating MS (metabolic syndrome) and the usage. As for high-risk MS groups or patients diagnosed with MS, an effective dose of methoxyl flavonoids or compound preparations containing the substances can be adopted for a prevention and/or treatment.

The invention discloses a traditional Chinese medicine combination, which is formed by raw medicines according to the proportion by weight as follows: ginseng or ginseng cauline leaf is 1 to 15 parts, and erigeron is 5 to 30 parts. Adopting the conventional traditional Chinese medicine combination formula, the invention has obvious neuroprotective effect and neural function improving, etc., by combining with the characteristics and advantages of the Chinese herb compound that are multi-component, multi-target, multi-level and multiple ways for treating complex disease; the invention can effectively block most pathological mechanisms of a plurality of disease nerve injury such as ischemic cerebrovascular disease, etc.; more particularly, for the improved aspect to the neurological symptom, the traditional Chinese medicine injection is helpful to enhance the living quality of a patient, and achieves the purpose of improving prognosis, and has important clinical application significance. The invention further discloses a preparation method of the traditional Chinese medicine combination and the pharmaceutical application.

A new analytical strategy, termed physiological profiling, was developed that can capture physiological baselines and reveal relationships between particular phenotypes as a function of genotype in complex disease conditions. Physiological profiling offers a powerful strategy to visualize complex physiological processes. Combined with developing statistical analysis, this analytical tool is likely to facilitate our understanding of the biology of an organism.

A method for filtering SNP (Single Nucleotide Polymorphism) unrelated to complex diseases from a whole-genome is used for the pathogenetic mechanism research of complex diseases, the early diagnosis and biological medicine development. The method comprises the following steps: (1), pre-processing and initializing SNP data, and processing the SNP data into data only including 0, 1, 2, 3 as per the principle that the influence of the variation of a random gene among the alleles of homologous chromosomes on diseases can be in equal treatment; (2), defining the relevance measure, namely defining the relevance I (Y;X) between the SNP subset X and the diseases Y as mutual information MI (Y;X) between X and Y; (3), searching SNP groups of the candidate suspected pathogenesis in the SNP set by adopting an FGSA (factor based genetic search algorithm) method; (4), selecting the SNP group of which the occurrence frequency of frequentness exceeds a threshold value in the set of SNP groups of the candidate suspected pathogenesis according to the frequentness-relevance priority criterion; (5), outputting the SNP of which the frequentness is larger than the threshold value and ranking at the headmost. According to the invention, the method can reserve the SNP corresponding to the pathogenesis covered by other pathogenesis, so as to lay a foundation for the discovery of the follow-up pathogenesis.