12 results about "Performed Diagnosis" patented technology

The present application provides detection and prognosis of infectious diseases. In particular, the present application provides fragment length profiles of nucleic acid libraries, methods of generating fragment length profiles of nucleic acid libraries, and methods of using the fragment length profiles for diagnosis and / or prognosis. The present application further provides methods, compositions, and kits for determining the stage or site of infection in a subject.

In accordance with at least one aspect of this disclosure, a method for preparing a patient for a diagnostic procedure and / or for receiving a therapy using a disease targeted drug is provided. The method can include the steps of a) identifying one or more soluble targets detectable in plasma of the patient; and b) extracorporeally removing the soluble targets from the plasma of the patient. Extracorporeally removing the soluble targets from the plasma of the patient can include using plasmapheresis or immunoadsorption to prepare a patient for a procedure using disease targeted treatment or diagnostics. Additionally, or alternatively, dose modulation can be used to proportionally increase the concertation of the diagnostic / treatment agent relative to the concentration of the soluble target in the blood, improving the outcome treatment and diagnostic procedures over conventional methods.

The invention provides a method for pooling samples prior to a diagnostic screen for a non-infectious disease. The method includes pooling only a portion of the obtained samples and storing the other portion for later use. Pooling samples represents a more time and cost-effective way to perform diagnostic screening.

The application discloses an AI-assisted pathological sample diagnosis method and a diagnosis system, relates to the technical field of medical image assistance, and comprises the following steps: acquiring a pathological sample from a digital pathology image library through a data access layer, and acquiring user information corresponding to the pathological sample from a clinical information library; performing multi-scale attention feature extraction and representation learning on the pathological sample through a multi-scale feature extraction network; quantifying the dynamic uncertainty of the pathological sample through a Bayesian neural network; performing multi-modal knowledge fusion; performing diagnosis decision process visualization output through a visualization module; evaluating and verifying the diagnosis system based on the visualization output result; the recognition ability of microstructure in the pathological sample and the confidence evaluation accuracy of the diagnosis result are significantly improved, the explainability and clinical practicability of the system are enhanced, incremental learning and long-term verification are supported, and the robustness, generalization ability and cost-effectiveness of the diagnosis system are effectively improved.

This invention provides a diagnostic method based on saccade analysis. The method includes: collecting eye movement displacement and time data of the subject to obtain a discrete eye movement velocity sequence; obtaining a denoised eye movement velocity sequence after denoising; selecting the velocity sequence to be processed using a moving window; determining the time length of the moving window based on the length of the velocity sequence and the calculation time requirements; determining an eye movement velocity threshold according to diagnostic needs; calculating local extrema of the velocity sequence within the moving window and determining the eye movement type and number of saccades based on the velocity threshold; calculating local extrema of the entire velocity sequence using this method to obtain the total number of saccades; diagnosing the subject's eye movement state based on the number of saccades and their time intervals, and determining whether detailed analysis of local data is needed to obtain a more accurate diagnostic result based on the diagnosis results. This invention can help doctors diagnose different types of saccades and their potential predictive conditions such as cognitive impairment and Parkinson's disease more quickly.

1. The name of the design product: digital electroencephalograph (NL-4208). 2. The use of the design product: as a device for electrotherapy rehabilitation, for measuring brain electrical signals, and assisting in the diagnosis of brain diseases. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention discloses a method for breast ultrasound tumor detection based on YoLoV8, comprising the following steps: S1, acquiring breast ultrasound images and performing data preprocessing; S2, extracting features from the preprocessed breast ultrasound images to obtain multi-scale features; S3, designing an improved lightweight HoVer-Trans block, inputting the multi-scale features into the lightweight HoVer-Trans block for lightweight processing; S4, using a lightweight convolutional fusion module to perform feature fusion on the lightweight processed multi-scale features, performing diagnostic classification based on the fused global features, and outputting the diagnostic results and corresponding confidence levels. This invention fully utilizes the global information of ultrasound images, improving the accuracy and comprehensiveness of diagnosis, and meeting the needs of real-time clinical diagnosis.

This invention provides an artificial intelligence-based real-time health status diagnosis system and method for peripartum dairy cows, belonging to the field of smart livestock technology. The method includes collecting image information and sensor data from the cowshed; preprocessing the collected image and sensor data; constructing image feature extraction models and sensor data feature extraction models; extracting features from the preprocessed image and sensor data based on these models; fusing the image and sensor data features to obtain fused features; constructing a health diagnosis model; and diagnosing the fused features based on the health diagnosis model to obtain the health status information of the dairy cows. This invention overcomes the limitations of single-modal diagnosis, establishes a comprehensive health profile of peripartum dairy cows, and provides reliable decision support for smart farms.

The present invention provides a non-invasive ex vivo method for diagnosis, prognosis or monitoring of Parkinson's disease (PD) in a subject comprising determining the ratio of CD8 terminally differentiated effector T cells (CD8 TEMRA) to CD8 central memory T cells (CD8 TCM) in a biological sample from the subject, as well as a computer program product for implementing the method. Also provided herein are kits (particularly kits for diagnosis, prognosis or monitoring of PD) and uses thereof, the kits comprising: (a) means specifically suitable for determining the ratio of CD8 TEMRA to CD8 TCM; and (b) optionally a reference of said ratio or means for establishing said reference wherein said reference represents a known diagnosis or prognosis of PD wherein (a) and optionally (b) are the only biological agents present in said kit.

The application discloses an intelligent diagnosis analysis method and system, and relates to the technical field of intelligent medical information processing.The method comprises the following steps: determining whether a diagnosis conclusion can be obtained according to disease information of a patient, a relationship between the disease information and diseases, and a diagnosis analysis model; if yes, obtaining a recommended diagnosis conclusion according to the disease information of the patient, the relationship between the disease information and the diseases, and the diagnosis analysis model; if no, obtaining a possible disease range of the patient according to the disease information of the patient, obtaining a recommended diagnosis scheme according to the possible disease range of the patient and a relationship between diseases and diagnosis schemes, and diagnosing the patient by using the recommended diagnosis scheme; and the next judgment is performed, which can help medical personnel and the patient to quickly and accurately obtain a scientific diagnosis conclusion, avoids the phenomenon that the diagnosis conclusion is inaccurate and the diagnosis scheme is unreasonable, and effectively improves the accuracy and timeliness of diagnosis.

The invention provides an electrocardio diagnosis system and device, a storage medium and a program product. The system comprises an electrocardio data acquisition device; the diagnosis terminal equipment is used for realizing the following functions: an AI diagnosis module used for performing AI diagnosis on a to-be-diagnosed person according to the acquired electrocardiogram data and outputting an acquired quality analysis conclusion, a disease diagnosis conclusion and corresponding two-dimensional basic confidence; the dynamic confidence coefficient calculation module is used for determining the dynamic confidence coefficient matched with the current scene according to the output of the AI diagnosis module; and the flow control module is used for comparing the dynamic confidence coefficient with a confidence coefficient threshold value preset for the current scene by each processing flow, and triggering the corresponding processing flow when the dynamic confidence coefficient is greater than or equal to the confidence coefficient threshold value preset for the current scene. By means of the technical scheme, the dynamic confidence coefficient and the confidence coefficient threshold value based on clinical scene adaptation are achieved, the accuracy of the AI diagnosis result and the processing timeliness and efficiency are improved, and the false positive rate is reduced.