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公开(公告)号:US12224070B2
公开(公告)日:2025-02-11
申请号:US17596015
申请日:2020-06-02
Applicant: Predicta Med LTD , Shlomit Steinberg-Koch , Benjamin Getz
Inventor: Shlomit Steinberg-Koch , Benjamin Getz
Abstract: Methods enabling prediction, screening, early diagnosis, and recommended intervention or treatment selection of autoimmune conditions using artificial intelligence operating in conjunction with large medical datasets. Logic is applied to historic population data to extract medical features and identify subjects with diagnosed autoimmune conditions, and the pre-diagnosis medical data is used to train a diagnosis classification algorithm. A self-supervised learning mechanism is separately used to generate a feature embedding transformation of the patients medical history into representational feature vectors. These patient feature vectors together with their expected diagnoses are used to train a multi-label classifier model using supervised learning. The embedding transformation and the multi-label classifier are then applied to a current subjects data to generate a patient diagnosis probability vector, predicting the existence of autoimmune conditions. These methods are applied to diagnose gastrointestinal autoimmune disorders using celiac disease as example.
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公开(公告)号:US20250046413A1
公开(公告)日:2025-02-06
申请号:US18405251
申请日:2024-01-05
Applicant: WELT CORP., LTD
Inventor: Seong Ji KANG , Hye Kang ROH , Joo Young KIM , Do Hyun LEE , Hwa Young JEONG
IPC: G16H20/00
Abstract: A method of developing a digital therapy solution through a modular digital therapy framework and an apparatus using the method can include receiving, by a digital therapy solution generator, digital therapy solution data; and generating, by the digital therapy solution generator, a digital therapy solution based on the digital therapy solution data.
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公开(公告)号:US20250040873A1
公开(公告)日:2025-02-06
申请号:US18708979
申请日:2022-10-21
Applicant: L'Oreal
Inventor: Benjamin Askenazi , Matthieu Perrot , Emmanuel Malherbe , Yohana Pachas , Olivier Leseur
Abstract: The present invention relates to a method for characterizing eyelashes or eyebrows which is implemented by computer and comprises the following steps, which are directed toward:—receiving data corresponding to a set of pixels in a close-up image of a body area comprising a plurality of eyelashes, preferably the entirety of a row of eyelashes or of an eyebrow, to be characterized:—applying at least one step of computer vision so as to obtain, on the basis of the image data received, a numerical evaluation of at least one characteristic numerical parameter from among, notably, the number of fibers, an average length of the fibers, an average thickness of the fibers, and a curvature of the fibers.
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公开(公告)号:US20250022602A1
公开(公告)日:2025-01-16
申请号:US18353737
申请日:2023-07-17
Applicant: Onikoroshi, LLC
Inventor: James CROUCH , Sean CALLAN
Abstract: A health and wellness system for a non-human subject comprising analyzing genetic data and phenotypic data of the non-human subject with a machine learning algorithm and making a recommendation or recommendation for products or activities for the non-human subject.
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公开(公告)号:US20250022587A1
公开(公告)日:2025-01-16
申请号:US18760443
申请日:2024-07-01
Applicant: Brooke Johns
Inventor: Brooke Johns
Abstract: A device is configured to process medical-event related information, such as associated with a medical code event, such as by receiving medical-event related information, recording medical event information with timestamps, generating additional medical information, displaying medical events and additional medical information on media display, visual indicators, and user devices to provide real-time notifications of recorded and reminders for upcoming medical events, and sending medical events with timestamps and additional medical information to other devices for further processing. The device may be configured as a code clock which includes an analog clock.
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公开(公告)号:US12198808B2
公开(公告)日:2025-01-14
申请号:US16589031
申请日:2019-09-30
Applicant: KPN INNOVATIONS, LLC
Inventor: Kenneth Neumann
IPC: G16H50/20 , G06F18/2113 , G06F18/214 , G06F18/2413 , G06N20/00 , G06V10/774 , G06V10/776 , G06V10/82 , G16H20/00
Abstract: A system for selecting a treatment schema based on user willingness includes at least a first computing device configured to receive at least a user constitutional datum and at least a user ailment state from at least a second computing device. At least a first computing device is configured to determine, with an adaptive machine learning module, at least a remedial process label. At least a first computing device is configured to derive a remedial attribute list, wherein the remedial attribute list further comprises a plurality of remedial attribute list entries. At least a first computing device is configured to generate a plurality of treatment schemas. At least a first computing device is configured to select a treatment schema from the plurality of treatment schemas. At least a first computing device is configured to transmit the selected treatment schema to at least a second computing device.
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公开(公告)号:US12198344B2
公开(公告)日:2025-01-14
申请号:US18527037
申请日:2023-12-01
Applicant: Insitro, Inc.
Inventor: Hervé Marie-Nelly , Jeevaa Velayutham , Zachary Phillips , Shengjiang Tu
IPC: G06T7/00 , A61B5/00 , G01N15/1429 , G16H20/00
Abstract: The present disclosure relates generally to an autonomous cell imaging and modeling platform, and more specifically to machine-learning techniques for using microscopy imaging data to continuously study live biological cells. The autonomous cell imaging and modeling platform can be applied to evaluate various cellular processes, such as cellular differentiation, optimization of cell culture (e.g., in-plate cytometry), disease modeling, histopathology imaging, and genetic and chemical screening, using a dynamic universal imaging system. In some embodiments, the platform comprises a set of label-free computational imaging techniques, self-supervised learning models, and robotic devices configured in an autonomous imaging system to study positional and morphological characteristics in particular cellular substructures of a cell culture in an efficient and non-destructive manner over time.
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公开(公告)号:US12186109B2
公开(公告)日:2025-01-07
申请号:US16985765
申请日:2020-08-05
Applicant: UnitedHealth Group Incorporated
Inventor: Rachel Lauren Jennings , Steven Catani , Cody James Lensing , Jonathan Michael Rolfs , Alex Taub Bacon
Abstract: There is a need for more effective and efficient predictive data analysis, such as more effective and efficient data analysis solutions for performing predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. Certain embodiments utilize systems, methods, and computer program products that perform predictive data analysis by utilizing at least one of glucose surge excursion detections, steady-state glucose-insulin machine learning models, and parameter space refinement machine learning models.
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公开(公告)号:US20250005634A1
公开(公告)日:2025-01-02
申请号:US18406051
申请日:2024-01-05
Applicant: Tendo Systems Inc.
Inventor: Paul J. KETCHEL, III
IPC: G06Q30/0601 , G06Q20/06 , G06Q20/10 , G06Q20/38 , G06Q30/0201 , G06Q30/0207 , G06Q50/22 , G16H10/60 , G16H20/00 , G16H40/20
Abstract: An apparatus for providing a bundled set of individually redeemable healthcare services in a purchase data record, determining a Good Faith Estimate (GFE) for the at least one healthcare service of the bundled set, associating the purchase data record with user debt for purchase of the healthcare services, providing a digital health asset token representing the purchase data record identified by and with a unique confirmation number, said purchase data record comprising the associated user debt of the at least one bundled set of healthcare services, and providing marketplace access to the token to finance the debt. The marketplace may use the token for buying, selling or trading the bundled set of healthcare services to finance the debt. The token and a Good Faith Estimate (GFE) may be provided to an Independent Dispute Resolution (IDR) process for resolving a dispute under the No Surprises Act.
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公开(公告)号:US12183454B2
公开(公告)日:2024-12-31
申请号:US17940603
申请日:2022-09-08
Applicant: CDW LLC
Inventor: Casey Bleeker , Nathan A. Cartwright
Abstract: Artificial intelligence (AI) based technologies for improving patient intake are disclosed herein. An example method includes receiving a patient intake request from a user; initiating, based on the patient intake request, a patient intake data stream including verbal responses from the user regarding patient intake of the user; applying, while simultaneously receiving the patient intake data stream, a natural language processing (NLP) model to the verbal responses from the user to output (i) textual transcriptions and (ii) intent interpretations; generating, by a care plan generation module, a recommended care plan based on the textual transcriptions and the intent interpretations; identifying, by an intent interpretation fulfillment module, one or more recipient entities to receive the textual transcriptions and the recommended care plan; and transferring the textual transcriptions and the recommended care plan to one or more recipient entity devices of the one or more recipient entities.
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