INFUSION PUMP
    14.
    发明申请

    公开(公告)号:US20250001071A1

    公开(公告)日:2025-01-02

    申请号:US18689723

    申请日:2022-09-09

    Abstract: An infusion pump may include automated syringe loading capabilities and/or medicinal fluid delivery capabilities to facilitate administration of medicinal fluids to a patient. The infusion pump may operate mechanically and may not require a power source to operate. The infusion pump may assist with filling a syringe with the medicinal fluid contents of one or more vials. The infusion pump may include a drug delivery assembly to deliver fluid at an adjustable but constant force. The infusion pump may permit the user to adjust the delivery rate continuously within a given range to improve comfort during infusion.

    Drug administration method
    15.
    发明授权

    公开(公告)号:US12178981B2

    公开(公告)日:2024-12-31

    申请号:US16958388

    申请日:2018-12-26

    Abstract: The present disclosure provides a safer novel opening system with highly broad utility for a blood-brain barrier (BBB), the opening system containing a combination of (1) nano-bubble water or nano-bubble aqueous solution containing nano-bubbles having an average diameter of not more than 200 nm, and (2) an ultrasound generating apparatus; a method for opening a BBB, including using the nano-bubble water or nano-bubble aqueous solution, and an ultrasound; and a method for increasing BBB permeability of a drug, including using the nano-bubble water or nano-bubble aqueous solution, and an ultrasound.

    IMAGE SCORING FOR INTESTINAL PATHOLOGY

    公开(公告)号:US20240394881A1

    公开(公告)日:2024-11-28

    申请号:US18795513

    申请日:2024-08-06

    Abstract: Disclosed herein are computer-implemented method, system, and computer-program product (computer-readable storage medium) embodiments of image scoring for intestinal pathology. An embodiment includes receiving, via at least one processor, an output of an imaging device. The output of the imaging device may include a plurality of image frames forming at least a subset of a set of image frames depicting an inside surface of a digestive organ of a given patient; and decomposing, via at least one machine learning (ML) algorithm, at least one image frame of the plurality of image frames into a plurality of regions of interest. The at least one region of interest may be defined by determining that an edge value exceeds a predetermined threshold. At least one processor may automatically assign a first score based at least in part on the edge value for each region of interest and automatically shuffle the set of image frames.

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