656 results about "Diseases/diagnoses" patented technology

A system and process for providing a computerized medical and biographical records database and diagnostic information. A medical records database and diagnostic program is stored on a central computer that is accessible to individuals using remotely situated computers connected to a computer network. Individual patient medical and biographical records are owned by individual patients who can enter information in their record as well as grant or deny authorization to others, such as health care professionals, insurance providers and other entities, to review part or all of their record. The diagnostic program provides a series of diagnostic questions to an individual who must respond either "yes" or "no" to each question. Each potential response is weighted relative to its importance to a particular disease diagnosis. Relative weights for all responses to diagnostic questions are summed to identify potential diagnoses to connected to the answered questions. The diagnostic program provides the individual with a list of potential diagnoses as well as permitting the individual to save the information to his or her individual medical and biographical record. The information maintained in the above system and process is utilized for health care financing and insurance.

The invention relates to compositions and methods for detecting and quantifying small RNA species such as miRNA, preferably associated with disease detection and diagnosis.

The alkane profile (FIGS. 12-14) comprising the alveolar gradients of n-alkane in breath having 4 carbons to 20 carbons, and the methyl alkane profile (FIGS. 30-34) are determined for the diagnosis of disease in mammals, including humans.

A method of calculating a disease assessment by analyzing a medical image, comprising (1) extracting at least one lesion feature value from the medical image; (2) extracting at least one risk feature value from the medical image; and (3) determining the disease assessment based on the at least one lesion feature value and the at least one risk feature value. The method employs lesion characterization for characterizing the lesion, and risk assessment based on the lesion's surroundings, i.e., the environment local and distal to the lesion. Computerized methods both characterize mammographic lesions and assess the breast parenchymal pattern on mammograms, resulting in improved characterization of lesions for specific subpopulations, combining the benefits of both techniques.

The present invention relates to compositions, kits, and methods for molecular profiling and cancer diagnostics, including but not limited to gene expression product markers, alternative exon usage markers, and DNA polymorphisms associated with cancer. In particular, the present invention provides molecular profiles associated with thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.

The invention provides an intelligent closestool and a smart medical treatment and health monitoring system based on the intelligent closestool. The intelligent closestool comprises a toilet bowl, a closestool lifting cover and a gasket. The gasket is provided with a plurality of sensors. The closestool is further provided with an intelligent control module and is connected with the sensors, and the intelligent control module is provided with a display module used for outputting test data of the sensors. According to the smart medical treatment and health monitoring system, a communication module is additionally arranged on the intelligent control module, and the smart medical treatment and health monitoring system is connected with a family data terminal and a medical treatment information platform through the communication module. Due to the fact that the sensors are integrated on the closestool, various heath core indexes of a human body can be detected conveniently in time when a user goes to the toilet. In addition, the data can be transmitted to the data terminal through the communication module, the user can be allowed to access the daily health condition of the user himself / herself, the data can also be used as a big data source of a public medical treatment information platform to be used for disease diagnosis and health prediction, and thus different using needs can be met.

A method for detecting compounds of interest in bodily fluids, including exhaled breath and blood. The present invention uses biosensors that mimic naturally occurring cellular mechanisms, including RNA oligonucleotide chains or “aptamers,” in combination with signaling agents or nanotechnology to provide an effective and efficient method for diagnosing a condition and / or disease within a patient. The subject invention also provides a method for screening those analytes / biomarkers likely to be present in exhaled breath.

A computer system for generating a diagnostic tool by applying artificial intelligence to an instrument for diagnosis of a disorder, such as autism. For autism, the instrument can be a caregiver-directed set of questions designed for an autism classification tool or an observation of the subject in a video, video conference, or in person and associated set of questions about behavior that are designed for use in a separate autism classification tool. The computer system can have one or more processors and memory to store one or more computer programs having instructions for generating a highly statistically accurate set of diagnostic items selected from the instrument, which are tested against a first test using a technique using artificial intelligence and a second test against an independent source. Also, a computer implemented method and a non-transitory computer-readable storage medium are disclosed.

A method for detecting compounds of interest in bodily fluids, including exhaled breath and blood. The present invention uses biosensors that mimic naturally occurring cellular mechanisms, including RNA oligonucleotide chains or “aptamers,” in combination with molecular beacons or nanotechnology to provide an effective and efficient method for diagnosing a condition and / or disease within a patient. The subject invention also provides a method for screening those analytes / biomarkers likely to be present in exhaled breath.

The present invention relates to a method and system for detecting biologically relevant structures in a hierarchical fashion, beginning at a low-resolution and proceeding to higher levels of resolution. The present invention also provides probabilistic pairwise Markov models (PPMMs) to classify these relevant structures. The invention is directed to a novel classification approach which weighs the importance of these structures. The present invention also provides a fast, efficient computer-aided detection / diagnosis (CAD) system capable of rapidly processing medical images (i.e. high throughput). The computer-aided detection / diagnosis (CAD) system of the present invention allows for rapid analysis of medical images the improving the ability to effectively detect, diagnose, and treat certain diseases.

The present invention relates to novel therapeutic and diagnostic dendrimers. In particular, the present invention is directed to dendrimer based compositions and systems for use in disease diagnosis and therapy (e.g., cancer diagnosis and therapy). The compositions and systems comprise one or more components for targeting, imaging, sensing, and / or providing a therapeutic or diagnostic material and monitoring the response to therapy of a cell or tissue (e.g., a tumor).

Disclosed are a variety of methods and computer systems for use in the analysis of gene and protein expression data. Also disclosed are methods for the definition of the cellular state of cells and tissues from multidimensional physiological data such as those obtained from gene expression measurements with DNA microarrays. A variety of classification methods can be applied to expression data to achieve this goal. Demonstrated is the application of several statistical tools including Wilks' lambda ratio of within-group to total variance, Fisher Discriminant Analysis, and the misclassification error rate to the identification of discriminating genes and the overall classification of expression data. Examples from several different cases demonstrate the ability of the method to produce well-separated groups in the projection space representing distinct physiological states. The method can be augmented and is useful in disease diagnosis, drug screening and bioprocessing applications.

A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.

The invention discloses an intelligent medical service-based remote disease diagnosis system. The intelligent medical service-based remote disease diagnosis system comprises a user symptom information acquisition system, a cloud server, a department distribution system, a remote consultation system and a remote medical terminal, wherein the user symptom information acquisition system exchanges information with the remote consultation system through a network; the user symptom information acquisition system, the department distribution system and the remote medical terminal exchange information with the cloud server through the network; and the department distribution system exchanges information with the remote consultation system through the network. According to the intelligent medical service-based remote disease diagnosis system, the diagnosis automation is preliminarily realized through carrying out contrastive analysis on the symptom information of patients and medical history information and common disease symptom information, and certain reference resources are provided for the departments before carrying out interaction with the patients, so that the departments can deeply know the patients conveniently and then the consultation efficiency is improved; the patients can conveniently carry out routine inspections and get medicines through nearby remote medical terminals, and can realize consultation and get medicines without going out, so that as patient-oriented intelligent medical idea is embodied.

A system for predicting future disease for a subject comprising: a population information set comprising population disease diagnoses for members of a population; a subject-specific information set comprising at least one subject-specific disease diagnosis; and a diagnoses-based prediction module configured to predict one or more future diseases for the subject based on said subject-specific disease diagnosis and said population disease diagnoses for population members having at least one disease in common with the subject.

A system and method for disease diagnosis through iterative discovery of symptoms using matrix based correlation engine. The Dialog Manager uses the correlation engine to drive the dialogue with the user and presents optimum number of right questions based on which the system correlates and identifies probable disease (s) and the symptom (s) that has the maximum potential to narrow down the search, so as to reach a particular conclusion on disease type. The system computes the most probable disease based on the scores associated with various symptoms. The correlation engine is optimized by computing the probability of diseases using boost factor based on user profile, the total time lapsed from the onset of diseases etc. to enhance the accuracy of the disease identification. Based on the conclusions, Dialog Manager requests the Decision Support Engine for further suggestions and handles the subsequent interaction between the user and Decision Support Engine.

Methods for diagnosing renal disorders by measuring human neutrophil gelatinase-associated lipocalin (NGAL) are provided.

Periodic biological functions and their related anatomy that cannot be seen in image sequences using typical means, can nonetheless be made visible by demodulating the image sequence according to the timing of that biological function using the described method. In particular, vascular structure and the function of that structure becomes observable when demodulated according to the patient's heart beat. This method suppresses the effects of thermal variations across the anatomy, and of severe scattering loss from buried tissues, that limit current thermographic (heat imaging) methods. It also measures localized changes in the wave front amplitude, shape, and phase, which are expected to prove useful for disease diagnosis and biometry.

A non-invasive system and method are provided for determining the presence or absence of neural, muscular, soft tissue, bone or joint damage or other disease affecting a person's hand. A preferred system includes a plurality of digit contact members, one of which is engageable by the person's thumb and others which are engageable by other digits of the hand, at least one of the other digits being innervated by the ulnar nerve. Force detectors are operatively connected to at least two of the digit contact members for measuring the quantity of force applied to the respective digit contact members by at least one digit innervated by the median nerve and a digit innervated by the ulnar nerve, as they engage in a natural gripping motion. The measured forces may be used to calculate quality indices useful in the diagnosis of disease and the monitoring of progression of disease.

The present invention provides markers and methods for determining whether a subject, particularly a human subject, has or is at risk of developing, a disease such as cardiovascular disease, diabetes mellitus, insulin resistance, metabolic syndrome, NAFLD (Nonalcoholic Fatty Liver Disease) or NASH (Nonalcoholic Steatohepatitis) (e.g., within the ensuing year, two years, and / or three years). The present application also relates to the use of such markers and methods for monitoring the status of such diseases in a subject or the effects of therapeutic agents on subjects with such diseases.

The present invention relates to a novel gene, Di12, that is differentially expressed as a 1.35 kb RNA in breast cancer tissues and cell lines, and in several normal tissues. The full length cDNA encodes a protein of 339 amino acids. Antibodies to the gene product were developed to investigate the expression of Di12 in breast cancer cell-lines and tumors. The Di12 protein was found in tissue sections of infiltrating ductal carcinomas (IDCs), but not in benign or normal breast specimens. Di12 wag also present in IDC-breast cancer patient sera, and its expression level increased markedly if IDC was accompanied by lymph node or distal metastases. As IDC constitutes ~70% of breast cancers seen clinically, the level of Di12 expression is useful for diseases diagnosis predicting disease progression and monitoring a therapeutic treatment.

The invention provides a method and system for assisting in disease diagnosis on the basis of intelligent inference, and relates to the field of computers. The method comprises the steps that input information of a user is obtained and analyzed, effective information in the input information is stored, the information matching degree of the effective information in a case library and the rule coverage rate of the effective information in a rule library are calculated, weighted summation is conducted on the information matching degree and the rule coverage rate, and an explaining value p of each disease in a disease library for the input information is obtained; diseases corresponding to the explaining values p are sorted according to the explaining values P, the disease of which the explaining value p is larger than or equal to a threshold value E serves as an initial inference conclusion to be returned to the user, inspection result information input by the user is obtained, diagnostic criteria, corresponding to the disease in the initial inference conclusion, in a book knowledge library are displayed to the user by combining the effective information. According to the method and system for assisting in the disease diagnosis on the basis of the intelligent inference, the process and form of an inquiry under the real scenario of clinical diagnosis are simulated, and the diagnosis result can be well explained.

The present invention relates to compositions and methods for molecular profiling and diagnostics for genetic disorders and cancer, including but not limited to gene expression product markers associated with cancer or genetic disorders. In particular, the present invention provides algorithms and methods of classifying cancer, for example, thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.

The present invention relates to a method of measuring a vitamin D metabolite in a sample, the method comprising the steps of (a) treating said sample with a vitamin D metabolite releasing reagent under conditions appropriate to release a vitamin D metabolite from vitamin D-binding protein and not to cause protein precipitation, (b) subjecting the treated sample obtained in step (a) to a chromatographic separation, and (c) measuring a vitamin D metabolite during or after said chromatographic separation. The present invention also relates to methods for determining the vitamin D status of a subject, for use in the diagnosis of disease, and to agents and kits for use in performing the methods of the invention.

A method for improving disease diagnosis using contrast enhancement presentation comprising: providing an input digital diagnostic image; applying a decomposition filter bank to the input digital diagnostic image; constructing a tone scale curve from the input digital diagnostic image; applying said tone scale curve to the input digital diagnostic image to produce a tone-scaled image; applying a decomposition filter bank to the tone-scaled image; generating the contrast weight control signals from the input digital diagnostic image by extracting the high contrast edge signals at the coarse scale; adjusting the decomposition outputs from both the input image and the tone-scaled image according to the contrast weight control signals; and applying a reconstruction filter bank to the adjusted signals to produce a contrast enhancement presentation output image.

The present invention relates to compositions and methods for molecular profiling and diagnostics for genetic disorders and cancer, including but not limited to gene expression product markers associated with cancer or genetic disorders. In particular, the present invention provides algorithms and methods of classifying cancer, for example, thyroid cancer, methods of determining molecular profiles, and methods of analyzing results to provide a diagnosis.

The present invention provides an adjuvant disease diagnosis method based on patient test results. The method comprises: cleaning original data, and constructing sample data according to the test category; using the current xgboost framework with high speed and high accuracy to improve the algorithm and reduce the error rate, designing the model loss function and optimizing the number of iterations of the model, and training the multiple diagnostic models according to the type of the sample; and outputting some diseases with relatively large probability that patients could be suffered from. The present invention provides the disease diagnosis method with high reliability for assisting doctors to improve the diagnosis rate of the disease and reduce the misdiagnosis rate.