21 results about "Diagnoses diseases" patented technology

The present invention relates to MSLN-specific binding constructs comprising a designed ankyrin repeat domain with binding specificity for MSLN and a chelator capable of bonding to a radionuclide, as well as to such MSLN-specific binding constructs comprising a half-life extending moiety with binding specificity for serum albumin. The invention further relates to methods of producing such radio-labelled MSLN-specific binding constructs, pharmaceutical compositions comprising such constructs, and the use of such constructs or pharmaceutical compositions in methods for treating, imaging or diagnosing diseases, such as cancer.

Anti-4-1BB single domain antibodies and polypeptides, e.g., bispecific antibodies and chimeric antigen receptors comprising these single domain antibodies, are provided. These antibodies, including humanized antibodies, exhibit superior activity and are suitable for use in various bispecific antibody formats. Methods of using the antibodies or polypeptides to treat and diagnose diseases, e.g., cancer, are also provided.

There is a challenge in that doctors, hospitals, insurance companies, or patients cannot obtain the necessary medical information in a timely manner when they need it. Therefore, by providing patients with up-to-date digital medical records that can be securely accessed from anywhere, we can strengthen collaboration and communication among different healthcare providers and institutions. [Solution] This is solved by an AI system, method, and computer program product for patient diagnosis and treatment suggestion, which uses advanced AI algorithms to analyze all available data to diagnose diseases and suggest treatments.

According to an embodiment of the present disclosure, disclosed is a method for evaluating qualities of electrocardiogram data and diagnosing a disease only with a signal having an excellent quality. Specifically, according to the present disclosure, a computing device evaluates qualities of electrocardiogram data obtained from a plurality of leads, excludes electrocardiogram data obtained from at least one lead among the plurality of leads based on the evaluation of the qualities of the electrocardiogram data, and performs electrocardiogram analysis based on remaining electrocardiogram data by using a pre-learned electrocardiogram analysis model.

The present invention relates to a disease-specific biomarker for early prediction and diagnosis of preeclampsia and use thereof, and a composition for prediction or diagnosis of preeclampsia according to an aspect or a method of providing information for prediction or diagnosis thereof, can simply and effectively predict or diagnose the disease by measuring and comparing the mRNA level of a disease-specific protein or a gene encoding the protein changed in a patient.

The disclosure herein relates to the development and production of novel antibodies and antigen-binding fragments thereof that bind to TL1A and are useful in the treatment, prevention, and diagnosis of diseases, disorders, or inflammation, including, for example, autoimmune diseases, including rheumatoid arthritis, inflammatory bowel disease, atopic dermatitis, systemic lupus erythematosus, asthma, ulcerative colitis, Crohn's disease, psoriasis, primary biliary cirrhosis, primary biliary cholangitis, ankylosing spondylitis, and fibrosis, including intestinal fibrosis, pulmonary fibrosis, and liver fibrosis. Some of the elements of the final antibody structure are designed de novo by a computer system and its data training set, without reference to a particular reference molecule.

Aspects and embodiments relate to methods for mapping additional information relating to a 2D medical image of a region of interest to a 3D medical image volume of the region of interest and an apparatus and computer program product configured to perform such methods. A method according to an embodiment comprises: receiving a 2D composite medical image of the region of interest and a 3D medical image volume of the region of interest; decomposing the 2D composite medical image into at least: a base image; and an additional image comprising the additional information; identifying, based on an assessment of the base image and the 3D medical image volume, a representative 2D slice of the 3D medical image volume which corresponds to the base image; evaluating a transformation of the base image which maps the base image to the representative 2D slice; and combining the representative 2D slice with an image formed by applying the evaluated transformation to the additional image to produce a new composite 2D medical image of the region of interest. Aspects and embodiments recognize that it is possible to utilize information provided in a 2D medical image and map that information onto new imaging information forming part of a 3D medical image volume. Providing a visualization of such a mapping can assist an imaging professional to more efficiently evaluate captured image data representative of a region of interest. In particular, the mapping of additional information to a portion of a 3D medical image volume of a region of interest may assist an imaging professional to perform the technical task of evaluating the clinical relevance of the captured 3D medical image data. That evaluation may be performed for the purpose of determining an appropriate course of treatment, or for evaluating or diagnosing a disease or chronic condition on the basis of captured image data.

A disease diagnosis tool uses a vision transformer to determine a diagnosis of a disease from a high-resolution image of a body part. A disease diagnosis tool receives a high-resolution image of a body part. The disease diagnosis tool divides the high-resolution image into a plurality of tiles. For each tile, the disease diagnosis tool generates an embedding having a position encoding corresponding to the tile's position in the high-resolution image. The disease diagnosis tool inputs the embeddings for the tiles into a linear projection model whose output feeds a transformer and receives, as output from a model comprising the transformer, a diagnosis of a disease of the body part.

Systems and methods are disclosed for developing models for predicting Alzheimer's Disease (AD) and other disease states with improved fairness and bias mitigation. An example method includes receiving an EMR dataset comprising a first EMR subset for a first population of patients having confirmed positive disease indications, and an unlabeled EMR subset for a remainder population of the patients. The patients are categorized into various demographic groups. The method further includes using the EMR dataset to train a set of machine learning models via positive unlabeled learning (PUL) to first determine a second EMR subset for a second population of patients having reliable negative indications for the disease state, and then determine additional positive and additional negative indications. Biases specific to each group are mitigated by applying probabilistic criteria specific to each demographic group to subsets of the EMR data during the training of these machine learning models.

Mandibular repositioning devices have a maxillary piece and a mandibular piece each of which is configured to cover a user's teeth. The maxillary piece has a right back teeth portion and / or a left back teeth portion and a driver flange protruding laterally outward from either or both thereof. Each driver flange has a driving side with a convex surface. The mandibular piece has a protrusive flange extending cranially therefrom and positioned with an engaging side thereof engaged against the driving side of the driver flange. The engaging side of the protrusive flange has a concave surface which mates with the convex surface of the driver flange when the mouth is closed and is in continuous contact thereagainst as a user moves their jaw downward, thereby providing gradual arcuate incremental forward mandibular movement as the concave surface of the protrusive flange smoothly glides against the convex surface of the driver flange.

This invention relates to: a P-cadherin-binding compound; a composition comprising the P-cadherin-binding compound; methods for diagnosing diseases using the P-cadherin-binding compound and the composition; methods for treating diseases using the P-cadherin-binding compound and the composition; methods for diagnosing and treating diseases using the P-cadherin-binding compound and the composition, also referred to as "therapeutic diagnostics" or "therapeutic diagnostics" methods; methods for delivering radioactive nuclei to tissues expressing P-cadherin using the P-cadherin-binding compound and the composition; a method for diagnosing diseases using the P-cadherin-binding compound and the composition; a method for treating diseases using the P-cadherin-binding compound and the composition; a method for diagnosing and treating diseases using the P-cadherin-binding compound and the composition, also referred to as "therapeutic diagnostics" or "therapeutic diagnostics" methods; and a method for delivering radioactive nuclei to tissues expressing P-cadherin using the P-cadherin-binding compound and the composition.

A disease diagnosis tool uses a vision transformer to determine a diagnosis of a disease from a high-resolution image of a body part. A disease diagnosis tool receives a high-resolution image of a body part. The disease diagnosis tool divides the high-resolution image into a plurality of tiles. For each tile, the disease diagnosis tool generates an embedding having a position encoding corresponding to the tile's position in the high-resolution image. The disease diagnosis tool inputs the embeddings for the tiles into a linear projection model whose output feeds a transformer and receives, as output from a model comprising the transformer, a diagnosis of a disease of the body part.

The embodiment of the application provides a multi-role adaptive interaction method and system based on an oral medicine knowledge base, which comprises the following steps: when a query signal is received, a query role is identified, and query content is acquired; a preset query engine matched with the query role is called, a previously constructed knowledge base is accessed according to the currently called query engine and the query content, and a differential diagnosis set containing multiple diseases with a sorting relationship is acquired; the diseases in the differential diagnosis set are subjected to multi-dimensional differential diagnosis reasoning one by one according to the sorting relationship, and the comprehensive confidence of the reasoning result is correspondingly evaluated; when the comprehensive confidence is not less than a preset threshold, the disease corresponding to the comprehensive confidence is taken as a diagnosis disease, and a query report matched with the query role is output. The application can assist doctors in making professional clinical decisions and provide patients with convenient oral common sense popularization services.

The present invention is a sulfur compound measurement method for diagnosing a disease, the method comprising a measurement step for using a mass spectrometer to analyze a sample obtained from the exhaled breath of a subject, and measuring the amounts of a plurality of types of sulfur compounds contained in the sample, the measurements being used for diagnosing whether the subject is suffering from a prescribed disease. The plurality of types of sulfur compounds include two or more types of sulfur compounds selected from among ten types of sulfur compounds, namely hydrogen sulfide, hydrogen disulfide, hydrogen trisulfide, hydrogen tetrasulfide, cysteine, cysteine persulfide, glutathione, glutathione persulfide, sulfurous acid, and thiosulfuric acid.

Maxillary devices and mandibular devices each have a first housing connectable to a tooth of a user or connectable or integral with a teeth covering, wherein the housing encloses an on-board circuit board and a power source. The first housing of the maxillary devices has a tooth connecting portion, a palate housing portion and / or a buccal housing portion. The first housing of the mandibular devices has a tooth connecting portion and a sublingual portion. Each of the palate housing portion and the buccal housing portion enclose a stimulator having an electrode electrically connected to the on-board circuit board and the power source, and can enclose a sensor and / or a medicament dispenser. Methods of treatment using the same are disclosed also.

The present invention relates to a method comprising the steps of a) contacting ex vivo a cell from a mammalian cell line capable of secreting cytokines in a liquid medium with a set of antibodies from a blood sample from a mammalian subject which is known to be healthy or to suffer from a first disease; b) detecting the level of at least one cytokine present in the liquid medium following step a); c) contacting ex vivo a cell from the mammalian cell line capable of secreting cytokines with a set of antibodies from a blood sample from a mammalian reference subject which is known to be healthy or to suffer from a second disease in a liquid medium; d) detecting the level of the at least one cytokine present in the liquid medium following step c); e) determining a cytokine signature by determining the difference between the level of the at least one cytokine determined in step b) and the level of the at least one cytokine determined in step d), wherein the method is a method for aiding in detecting or diagnosing a disease, a method for aiding in distinguishing between a first disease and a second disease, or a method for aiding in diagnosing whether a mammalian subject is likely to suffer from a disease.

A clinical evaluation system and method are disclosed that facilitate the use of one or more morphologic atrial depolarization waveform-based features or parameters determined from biophysical signals such as cardiac or biopotential signals that are acquired, in preferred embodiments, non-invasively from surface sensors placed on a patient while the patient is at rest. Morphologic atrial depolarization waveform-based features or parameters can be used in a model or classifier to estimate metrics associated with the physiological state of a patient, including the presence or non-presence of a disease, medical condition, or an indication of either. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and / or severity and / or localization of diseases or conditions or in the treatment of said diseases or conditions.

The present disclosure provides systems and methods for diagnosing disease. In some aspects, an imaging system is provided that includes a light source configured to illuminate a retina of the eye with light, one or more imaging devices configured to receive light returned from the retina to generate one or more spatial-spectral images of the retina, and a computing device configured to receive the one or more spatial-spectral images of the retina, evaluate the one or more spatial-spectral images, and identify one or more biomarkers indicative of a neurogenerative pathology.

The present invention provides a method of preparing eukaryotic cellular material from a mucosal sample, which comprises a mixture of mammalian and prokaryotic cells. The method comprises the steps of: (i) obtaining the mucosal sample; (ii) preferentially lysing the mammalian cells in the mixture into a soluble state; (iii) separating the lysed soluble cellular material from non-lysed prokaryotic material; and (iv) removing any prokaryotic material in the lysed solution cellular material. The method yields a sample of mammalian cellular material that is substantially free of prokaryotic cells and / or cellular material. Also provided are methods of diagnosing a disease or disorder and treating such diseases / disorders, comprising performing the preparation method described herein and analysing the sample of mammalian cellular material for a marker associated with the disease or disorder.