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53 results about "Clinical pathology" patented technology

Clinical pathology (US, UK, Ireland, Commonwealth, Portugal, Brazil, Italy, Japan, Peru), Laboratory Medicine (Austria, Germany, Romania, Poland, Eastern Europe), Clinical analysis (Spain) or Clinical/Medical Biology (France, Belgium, Netherlands, North and West Africa...), is a medical specialty that is concerned with the diagnosis of disease based on the laboratory analysis of bodily fluids, such as blood, urine, and tissue homogenates or extracts using the tools of chemistry, microbiology, hematology and molecular pathology. This specialty requires a medical residency.

System and Method to Quantify Tumor-Infiltrating Lymphocytes (TILs) for Clinical Pathology Analysis Based on Prediction, Spatial Analysis, Molecular Correlation, and Reconstruction of TIL Information Identified in Digitized Tissue Images

A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated. The threshold probability value is adjusted in order to re-assign the classification label to the regions of interest based on a varied sensitivity level of density of lymphocyte infiltrated. A trained classification model is generated based on the re-assigned classification labels to the regions of interest associated with segmented data portions using the adjusted threshold probability value. An unlabeled image data set is received to iteratively classify the segmented data portions based on a lymphocyte density level associated with portions of the unlabeled image data set, using the trained classification model. Tumor-infiltrating lymphocyte representations are generated based on prediction of TIL information associated with classified segmented data portions. A refined TIL representation based on prediction of the TIL representations is generated using the adjusted threshold probability value associated with the classified segmented data portions. A corresponding method and computer-readable device are also disclosed.
Owner:THE RES FOUND TOR THE STATE UNIV OF NEW YORK +2

Molecular markers predicting response to adjuvant therapy, or disease progression, in breast cancer

Predicting response to adjuvant therapy or predicting disease progression in breast cancer is realized by (1) first obtaining a breast cancer test sample from a subject; (2) second obtaining clinicopathological data from said breast cancer test sample; (3) analyzing the obtained breast cancer test sample for presence or amount of (a) one or more molecular markers of hormone receptor status, one or more growth factor receptor markers, (b) one or more tumor suppression / apoptosis molecular markers; and (c) one or more additional molecular markers both proteomic and non-proteomic that are indicative of breast cancer disease processes; and then (4) correlating (a) the presence or amount of said molecular markers and, with (b) clinicopathological data from said tissue sample other than the molecular markers of breast cancer disease processes. A kit of (1) a panel of antibodies; (2) one or more gene amplification assays; (3) first reagents to assist said antibodies with binding to tumor samples; (4) second reagents to assist in determining gene amplification; permits, when applied to a breast cancer patient's tumor tissue sample, (A) permits observation, and determination, of a numerical level of expression of each individual antibody, and gene amplification; whereupon (B) a computer algorithm, residing on a computer can calculate a prediction of treatment outcome for a specific treatment for breast cancer, or future risk of breast cancer progression.
Owner:LINKE STEVEN +2

Kit and detection method for detecting pathogenic microorganisms of infectious eye disease

The invention relates to a kit and a detection method for detecting pathogenic microorganisms of the infectious eye disease. The kit consists of a DNA (Deoxyribose Nucleic Acid) amplification reagent, a universal primer combination, positive control nucleic acid and sterilized distilled water, wherein the DNA amplification reagent is formed by a premixed reagent which directly carries out amplification without extracting DNA of a sample and corresponding DNA polymerase mixed solution; and the universal primer combination is mixed solution of equal quantities of universal forward and reverse primers, which is designed and synthesized for respective conserved sequences of a plurality of types of common pathogenic microorganism bacteria, fungi, I-type herpes simplex virus and acanthamoeba protozoa of the infectious eye disease. The primers adopted by the invention are universal in various pathogenic agent types, but are specific for other pathogenies; a direct PCR (Polymerase Chain Reaction) reaction system and a program also have high efficiency; a step of extracting DNA of a template is omitted and the highest utilization degree of limited clinical samples is ensured; and meanwhile, detection time is also greatly shortened and the kit and the detection method can take a good auxiliary effect on early diagnosis of clinical pathology.
Owner:SHANDONG EYE INST

System and method to quantify tumor-infiltrating lymphocytes (TILs) for clinical pathology analysis based on prediction, spatial analysis, molecular correlation, and reconstruction of TIL information identified in digitized tissue images

A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based on prediction of reconstructed TIL information associated with tumoral tissue image data during pathology analysis of the tissue image data is disclosed. The system receives digitized diagnostic and stained whole-slide image data related to tissue of a particular type of tumoral data. Defined are regions of interest that represents a portion of, or a full image of the whole-slide image data. The image data is encoded into segmented data portions based on convolutional autoencoding of objects associated with the collection of image data. The density of tumor-infiltrating lymphocytes is determined of bounded segmented data portions for respective classification of the regions of interest. A classification label is assigned to the regions of interest. It is determined whether an assigned classification label is above a pre-determined threshold probability value of lymphocyte infiltrated. The threshold probability value is adjusted in order to re-assign the classification label to the regions of interest based on a varied sensitivity level of density of lymphocyte infiltrated. A trained classification model is generated based on the re-assigned classification labels to the regions of interest associated with segmented data portions using the adjusted threshold probability value. An unlabeled image data set is received to iteratively classify the segmented data portions based on a lymphocyte density level associated with portions of the unlabeled image data set, using the trained classification model. Tumor-infiltrating lymphocyte representations are generated based on prediction of TIL information associated with classified segmented data portions. A refined TIL representation based on prediction of the TIL representations is generated using the adjusted threshold probability value associated with the classified segmented data portions. A corresponding method and computer-readable device are also disclosed.
Owner:THE RES FOUND TOR THE STATE UNIV OF NEW YORK +2

Analytical method for beta-amyloid protein pathology by using thioflavine T staining

InactiveCN103278626AClear etiologyStrong impetusFluorescence/phosphorescencePharmacological interventionsDisease patient
The invention relates to an analytical method for beta-amyloid protein pathology by using thioflavine T staining. The method comprises the following processes: A, a patient pathological specimen source, B, an experimental animal pathological specimen source, C, treatment of patient and experimental animal brain tissue specimens, D, immumohistochemical staining of specimen beta-amyloid protein 1-42, E, thioflavine T staining of the specimen, and F, optical / fluorescence microscope pathological examination. The method has the advantages of introducing and widely using the thioflavine T to mark an amyloid protein disease patient brain tissue pathological specimen and assess the pharmacological intervention effect of alzheimer disease (AD) transgenic animals; compared with the traditional silver staining method and A beta immunohistochemical method, the method provided by the invention has the characteristics of being simple and feasible, and sensitive and reliable, is beneficial for clearing the nosetiology of cerebral hemorrhage, and has great guide value on formulation of patient secondary intervening measures. The wide application of the technology has a powerful promoting effect on clinical pathological research and translational medicine research of the A beta related diseases (alzheimer disease and amyloid angiopathy).
Owner:徐俊

Method for building improved orthotopic transplantation tumor model of colorectal tumor in nude mice

The invention discloses a transplantation tumor model of colorectal tumor for medical scientific research, which is produced by improving the orthotopic transplantation tumor model of colorectal tumor in nude mice. The invention aims to overcome the defect that the orthotopic transplantation tumor model of colorectal tumor has high intestinal obstruction incidence rate and short model animal survival time and is not suitable for long-time experiments. In the invention, the prepared tumor is transplanted close to the blood vessel in mesocolon. The method comprises the following steps: (1) preparation of tumor: injecting single cell suspension of the tumor cell to subcutis of nude mice and preparing the source of the transplantation tumor; (2) transplanting the prepared tumor close to the blood vessel in mesenterium of nude mice but not the serosa of the intestinal tube; and (3) raising the nude mice in an aseptic laminar flow room, controlling the room temperature to be (25+/-1) DEG C and relative humidity to be 40-50% and continuously observing the nude mice. The animal model built by the invention can reproduce the natural clinical pathology process of human colorectal tumor, can not suffer from obstruction of the lumen in the digestive tract in the short term and has transfer mode similar to that of the patients.
Owner:LONGHUA HOSPITAL SHANGHAI UNIV OF TRADITIONAL CHINESE MEDICINE

Method for investigating relationship between lung cancer clinical pathology and gene expression

The invention belongs to the field of medical exploration methods, and provides a method for investigating the relationship between lung cancer clinical pathology and gene expression; the method is used for guiding personalized and accurate lung cancer treatment and prognosis in the aspect of gene mutation. The method comprises the steps: confirmation of candidate genes; selection of a target gene; establishment of database; verification of lung cancer candidate genes; relevance of the target gene with lung cancer prognosis and clinical pathology characteristics; verification of expression ofthe target gene in lung adenocarcinoma; screening of a target gene low-expression lung cancer cell strain; influence of target gene overexpression/interference on lung cancer cell in-vitro invasion and metastasis; hypothesis of regulation and control of the target gene on the aspects of cell cycle apoptosis and invasion; regulation and control experiments of the target gene on the aspects of cellcycle apoptosis and invasion; and influence of target gene overexpression on a downstream signal path. In combination with various databases, various hypotheses are provided, the correctness of the hypotheses is verified through the experiments, and the next diffusion condition of lung cancer cells and the information interaction condition between cancer cells are predicted.
Owner:XIN HUA HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE

Multi-view tumor tissue pathological section and preparation method thereof

InactiveCN112798381AObserve growth characteristicsReduce difficultyPreparing sample for investigationAnatomyTumor tissue
The invention discloses a multi-view tumor tissue pathological section. The pathological section comprises a tumor tissue, a glass slide, a supporting cover glass and an overlying cover glass, wherein the supporting cover glass and the overlying cover glass are oppositely distributed; the tumor tissue is pasted among the glass slide, the supporting cover glass and the overlying cover glass; the tumor tissue is of a cylinder structure, and the cross section is V-shaped with different included angles; the thickness of each part of the tumor tissue is 4-6 microns, and the flatness of each part is kept consistent; the supporting cover glass and the overlying cover glass are matched with different models according to the V-shaped included angles of the sections of the tumor tissues, and the tumor tissues with different included angles can be packaged. According to the pathological section, the form of a tumor tissue can be observed from X, Y and Z visual angles, and the three-dimensional whole tissue state of the tumor tissue is observed, so the growth characteristics of forward tissue textures and reverse tissue textures of the tumor tissue are effectively observed, difficulty of clinical pathology judgment is reduced, and accuracy of clinical pathology judgment is improved.
Owner:THE PEOPLES HOSPITAL SHAANXI PROV

Applications of EGF in screening drugs used for diagnosing or treating implantation metastatic cancer

The invention discloses applications of EGF in screening drugs used for diagnosing or treating implantation metastatic cancer, and belongs to the field of medicine. Close connection between tumor-associated macrophage (TAM) related globoid with ovarian cancer clinical pathology is confirmed; it is shown by an ovarian epithelial cancer mouse model that TAM is capable of promoting forming of the globoids and the growth of tumour in the early phase of ovarian cancer implantation metastasis; EGF secreted by TAM is capable of activating EGFR on tumor cells, and then the EGFR is capable of realizing up regulation of surrounding tumor cell VEGFs-VEGFRs channel signal transduction and promoting tumor cell proliferation and differentiation; EGF is capable of realizing up regulation of expression of alpha M beta2 integral protein on TAM and ICAM-1 on tumor cells, and promoting association of tumor cells-TAM. In mouse, removing of TAM and drug blocking EGFR or neutralizing of ICAM-1 with an antibody is capable of inhibiting forming of the globoid and ovarian cancer development. The invention discloses a new mechanism of TAM-mediated globoid forming, and providing a novel targeted therapy method for ovarian cancer and other remote metastatic cancers.
Owner:广州道瑞医药科技有限公司
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