14 results about "Clinical settings" patented technology

1. Name of the product in this design: Fully Automated Fluorescence Analyzer. 2. Purpose of this design: To enable point-of-care testing in clinical settings, quickly obtain diagnostic results, and process samples in batches. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Other situations requiring explanation: Part A in the main view is transparent.

The application provides a lightweight orthodontic efficacy prediction method and system based on semantics and three-dimensional optimization, relates to the technical field of orthodontic efficacy prediction, and comprises the following steps: obtaining facial images and cephalometric data of historical orthodontic patients before and after orthodontic treatment to form a training set, constructing a structured orthodontic semantic prompt, using the pre-training diffusion model as the basis, using the training set images and the semantic prompt, and fine-tuning the prediction model through the LoRA technology; inputting the orthodontic pre-image and data of a target patient into the image to the prediction model, generating a two-dimensional facial image after orthodontic treatment, and performing three-dimensional reconstruction; optimizing the geometric consistency with the side image, and outputting a three-dimensional model for visual display. Through the combination of the LoRA fine-tuning technology, the structured medical semantic prompt and the three-dimensional geometric consistency optimization, the application can train an efficient prediction model under a small amount of paired data, reduce the calculation cost of model training and reasoning, adapt to the deployment of a clinical environment, and realize the controllability and interpretability of the generated results through the medical semantic prompt.

This utility model relates to a negative pressure drainage device for preventing backflow, comprising a mounting body with a hollow tubular structure. The mounting body has a forward mounting area and a reverse mounting area at its two ends. The component preventing backflow of drainage fluid includes an annular fixing seat circumferentially fixed inside the hollow tubular structure. One end of a movable stop is connected to the side of the annular fixing seat near the reverse mounting area. The movable stop is located between the annular fixing seat and the reverse mounting area. When the pressure in the reverse mounting area is lower than that in the forward mounting area, the movable stop moves to open the inner circle of the annular fixing seat, connecting it to the drainage channel. When the pressure in the reverse mounting area is higher than or equal to that in the forward mounting area, the movable stop moves back to close the opening formed by the inner circle of the annular fixing seat. This utility model has a simple structure, is easy to use, and can handle sudden situations in clinical settings. It eliminates the need for manual opening and closing, promptly preventing backflow of drainage fluid and reducing the burden on family caregivers.

Disclosed herein are shelf-stable compositions based on synthetic gene networks and / or cell-free systems that are lyophilized on a solid support. The compositions can be easily transported and stored for a period of time, and activation can be done by simply adding water. Methods of use are also disclosed herein, including, but are not limited to, sensing and a variety of logic functions. The invention permits straightforward, sterile and abiotic distribution of synthetic biology-based technology to clinical settings, food processing and industry, the military and consumer products.

The present invention provides a full-stack medical imaging foundation model, re for performing medical image segmentation, classification and localization using a unified language-image correlation mechanism. The present invention leverages pretrained language-guided associations to automatically recognize and localize disease targets without requiring medical imaging knowledge or manual box-prompting. The invention enables comprehensive clinical tasks across multiple disease classes and various medical imaging techniques, improves segmentation efficiency, and reduces human input burden. With operability through human language-only prompts by non-radiology specialists, the present invention improves real-world applicability and enables deployment of foundation model-based segmentation in diverse clinical environments.

A hardware-anchored orchestration system for autonomous GenAI agents in clinical settings, implementable in ASIC or FPGA fabric to ensure deterministic enforcement independent of software execution layers. The system utilizes a hardware-isolated ethical supervisor—comprising a HSM or TPM—to monitor agentic workflows against human-configured safety thresholds stored in an ethical guardrail manifest in a silicon vault. Hardware-based logic gates detect statistically anomalous token-level entropy as a causal indicator of hallucination, and bias monitors evaluate equity thresholds against manifest-defined fairness indices. If a safety breach is detected, a hardwired interlock circuit asserts a non-maskable interrupt to block the agent's output before it is committed to the clinical record. The architecture supports multi-agent quorum verification and cryptographic provenance anchoring, ensuring autonomous agentic actions remain compliant with clinical regulatory standards via hardware-verified human oversight and zero-knowledge compliance verification.

This invention relates to a peptide / aptamer / Ti3C2-CNTs-Au electrochemical aptamer sensor, its preparation method, and its application. The electrochemical aptamer sensor of this invention includes a base electrode, and Ti3C2-CNTs and AuNP films sequentially modified on the surface of the base electrode, as well as TCs aptamers and antifouling peptides sequentially loaded via Au-S bonds; the Ti3C2-CNTs include carbon nanotubes (CNTs) and Ti3C2 nanosheets embedded in the CNTs. Compared with existing technologies, the sensor constructed in this invention has outstanding advantages such as broad-spectrum recognition, high sensitivity, and excellent selectivity, and has been successfully applied to the actual detection of TCs in human serum samples. This technology provides strong technical support for drug hazard management and personalized risk assessment for therapeutic drug monitoring (TDM) in clinical settings, and has significant clinical application value.

This invention provides a full-stack medical imaging foundation model for performing medical image segmentation, classification, and localization using a unified language-image correlation mechanism. This invention leverages pre-trained language-guided associations to automatically identify and localize disease targets without requiring medical imaging knowledge or manual bounding box prompts. This invention enables comprehensive clinical tasks across multiple disease categories and various medical imaging techniques, improving segmentation efficiency and reducing the burden of manual input. By utilizing the operability of plain text prompts from non-radiologists, this invention improves real-world applicability and enables the deployment of foundation model-based segmentation in diverse clinical settings.

This invention provides a personalized screw trajectory planning method combining computer-aided planning and 3D printing, belonging to the field of personalized screw trajectory planning technology. First, the screw position is initially calculated using a screw trajectory planning algorithm. Second, a 1:1 model of the vertebral body and screw is printed using 3D printing technology. The screw is then assembled on the vertebral body model according to the calculated path. Next, the screw path is fine-tuned on the model based on the actual clinical situation. Finally, the fine-tuned screw position is matched to the patient's preoperative CT or intraoperative CBCT to achieve more accurate screw trajectory planning. This method allows for fine-tuning of the screw position according to specific circumstances to adapt to specific clinical environments and conditions, reducing limitations imposed by image display technology and human information processing capabilities. Through computer-aided planning and 3D printing, it ensures that the planning results do not lead to unsatisfactory planning effects.

This invention provides a multiplex nucleic acid detection primer for Helicobacter pylori, including primers targeting Helicobacter pylori 16S rRNA, shit , cow Gene-designed 16S rRNA primer pairs, shit Primer pairs, cow Primer pairs. This invention also provides detection probes, including gold nanoparticle capture probes, 16S rRNA capture probes, and... shit Capture probe, cow Capture probes and quality control capture probes. This invention also provides the above primers and probes for the preparation of Helicobacter pylori 16S rRNA, shit , cow Applications of gene detection products, as well as detection kits and methods. This invention can detect Helicobacter pylori 16S rRNA. 、cagA , cow Simultaneous detection of three genes and virulence typing, with highly specific primers and probes, stable amplification, high sensitivity, simple operation, short time consumption, and low cost, is suitable for rapid screening in clinical settings and on-site.

This invention provides a probe library and kit for detecting genetic risk gene mutations in viral infections, belonging to the field of gene detection technology. The probe library and kit designed in this invention achieve, for the first time, the simultaneous detection of all mutations in the following 51 genetic risk genes for viral infections: CARMIL2, CCL2, CD27, CD70, CIB1, CTPS1, CXCR4, CYBC1(C17orf62), DBR1, FCGR3A, FCHO1, ICAM1, IFIH1, IFNAR1, IFNAR2, IFNGR1, IFNGR2, IL10, IL10RA, IL10RB, IL... The probe library and kit of this invention contain 18BP, IRF3, IRF7, IRF9, MAGT1, LIG1, MCM2, NOS2, OAS1, POLR3A, POLR3C, POLR3F, PRKCD, RASGRP1, SH2D1A, STAT1, STAT2, TBK1, TICAM1, TLR3, TLR7, TLR8, TMC6, TMC8, TNFRSF9, TRAF1, TRAF2, TRAF3, TYK2, UNC93B1, and XIAP. This invention's probe library and kit can be used for detecting genetic variations in the risk of viral infection in clinical settings, assessing an individual's genetic risk of viral infection, and has broad application prospects.

Various embodiments of a computer-implemented system for universal secure messaging in a clinical setting including a messaging broker are disclosed.

The present invention provides a system and method for optimizing group-based goal accountability through the integration of artificial intelligence (AI). The invention utilizes a digital platform where users set personal goals, form accountability groups, and track progress. An AI engine dynamically analyzes user behavior, goal completion patterns, and group interactions to generate tailored notifications that are strategically timed and contextually relevant. These notifications are designed to enhance engagement, encourage peer-to-peer support, and address challenges effectively. The system further includes adaptive goal coaching features, leveraging machine learning to provide personalized recommendations for refining goals based on performance data. Progress visualization tools display individual and group achievements, reinforcing motivation and accountability. The invention is applicable across diverse domains, including personal development, workplace productivity, education, and clinical settings, offering a scalable solution for fostering sustained progress and collaboration within group environments.

The present application belongs to the technical field of medical image processing and artificial intelligence, and particularly relates to a frequency domain enhanced in-situ biological hyperspectral feature extraction and classification method. By fusing the adaptive spatial-frequency feature extraction capability of fractional Fourier transform and the local-global spectral attention mechanism, the medical hyperspectral image can be deeply featured and efficiently classified, and the rapid and accurate diagnosis of early pathological lesions can be realized. The method is particularly suitable for real-time analysis of complex non-stationary pathological signals and multi-scale spectral-spatial information in a clinical environment, and provides accurate lesion classification and diagnosis assistance for doctors.