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Analysis

1 / 13,698
1.20240249801CALIBRATING AN ELECTRONIC CHEMICAL SENSOR TO GENERATE AN EMBEDDING IN AN EMBEDDING SPACE
US - 25.07.2024
Int.Class G16C 20/70
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
20Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
70Machine learning, data mining or chemometrics
 Appl.No 18561610 Applicant Osmo Labs, PBC Inventor Alexander Wiltschko

Electronic chemical sensors can output raw electrical signal data in response to sensing a chemical compound, but the raw electrical signal data can be difficult to interpret. Processing the electrical signal data with a machine-learned model to generate an embedding output in an embedding space can provide a better understanding of the electrical signal data. Moreover, leveraging preexisting chemical property prediction models to generate other embeddings in the embedding space can allow for more accurate and efficient classification tasks of the electrical signal data.

2.20240249803ANALYSIS DEVICE, ANALYSIS METHOD, AND ANALYSIS PROGRAM
US - 25.07.2024
Int.Class G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
 Appl.No 18388407 Applicant Hitachi, Ltd. Inventor Yasuaki NAKAMURA

An analysis device includes an acquisition unit that acquires, for a plurality of pieces of data to be analyzed having a value of each factor in a factor group, combined branch conditions obtained by combining a plurality of branch conditions in the factor group and values of the combined branch conditions of each piece of data to be analyzed of the plurality of pieces of data to be analyzed, and a search unit that divides the plurality of pieces of data to be analyzed having the values of the combined branch conditions on the basis of the combined branch conditions and searches for a first decision tree.

3.20240249837Holistic Communications Hub And Associated Supporting Infrastructure For Collaborating Between All Those Involved In Looking After a Patient
US - 25.07.2024
Int.Class G16H 40/67
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
60for the operation of medical equipment or devices
67for remote operation
 Appl.No 18623933 Applicant Nancy ROME Inventor Nancy ROME

WholeCare is a holistic communications hub for all those involved in looking after one person or patient. The system streamlines and facilitates communication among the family, doctors and caregivers, so stress is lessened and time saved for all parties, and quality of life is improved for the person who needs care.

4.20240249838METHOD AND AN APPARATUS FOR BUILDING A LONGEVITY PROFILE
US - 25.07.2024
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
 Appl.No 18100175 Applicant Genesis Longevity Bioscience Inventor Jeffrey Gladden MD FACC

An apparatus, and method, for building a longevity profile, the apparatus including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive longevity measurement data of a user, where the longevity measurement data includes at least a transcriptomic datum. The processor further configured to determine at least a longevity hallmark as a function of the longevity measurement data and generate a longevity profile of the user of the user as a function of a longevity machine-learning model, wherein the longevity machine-learning model receives the at least a longevity hallmark and the longevity measurement as inputs and outputs the longevity profile, and transmit the longevity profile to an output device.

5.WO/2024/154632INFORMATION EXCHANGE METHOD, PROGRAM, AND INFORMATION SYSTEM
WO - 25.07.2024
Int.Class G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
 Appl.No PCT/JP2024/000376 Applicant SYSMEX CORPORATION Inventor OKADA, Seiki
The present invention makes it easy to flexibly link a plurality of medical workers in accordance with the status of a patient. This information exchange method is for exchanging information related to a patient between a plurality of medical workers by using an information system (1). The method includes: receiving a group creation request based on at least one of patient identification information for identifying a patient and specialty attribute information related to a medical specialty required for administering medical care to the patient; searching for medical workers who match the group creation request; creating, in accordance with the search result, a group including a medical worker having requested for the group creation request and at least one of a medical worker who is in charge of the patient and a medical worker who has a medical specialty required for administering medical care to the patient; and transmitting information that is related to the patient and that has been transmitted from a terminal (3) of one of the medical workers in the created group, to a terminal (3) of another of the medical workers in the group.
6.WO/2024/154917METHOD FOR OPERATING SLEEP CURATION SERVICE SYSTEM FOR USER
WO - 25.07.2024
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
 Appl.No PCT/KR2023/018209 Applicant BETTER MIND INC. Inventor CHOI, Ye Shin
A method for operating a sleep curation service system for a user is provided. A method for operating a sleep curation service system for a user, according to one aspect of the technical idea of the present disclosure, comprises the steps of: acquiring sound data corresponding to a target time interval associated with user's sleep from a pre-designated device; converting the acquired sound data into image data on the basis of a pre-stored image conversion method; inputting the converted image data into an artificial neural network trained for sleep analysis; receiving result values for the sleep analysis outputted from the artificial neural network; generating the user's sleep information report and sleep improvement guide information by using the result values; and transmitting a control signal for adjusting the magnitude and output cycle of white noise outputted by the pre-designated device on the basis of the sleep information report and the sleep improvement guide information.
7.20240249840Artificial Intelligence-based Stroke Risk Prediction from Carotid Artery Imaging Information
US - 25.07.2024
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
 Appl.No 18323566 Applicant Siemens Medical Solutions USA, Inc. Inventor Tiziano Passerini

For predicting stroke risk, an artificial intelligence rapidly generates flow information from input of geometric parameters of a carotid of a patient. An image processor predicts the stroke risk from the flow information. In one approach, the values of the geometric parameters of the carotid of the patient are perturbed based on uncertainty. The artificial intelligence generates candidate flow information for each perturbation. The candidate flow information sufficiently matching a measurement of flow for the patient is used as the flow information for stroke risk prediction.

8.20240245519CREATION OF A HEALTHIER PATELLOFEMORAL JOINT
US - 25.07.2024
Int.Class A61F 2/38
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
FFILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
2Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
02Prostheses implantable into the body
30Joints
38for elbows or knees
 Appl.No 18098985 Applicant Episurf IP-Management AB Inventor Ingrid BRATT

In accordance with one or more embodiments herein, a system for turning a patient's dysplastic or deformed patellofemoral joint into a healthier patellofemoral joint is provided. The system comprises at least one processor arranged to: analyze the curvature of the patella in a patellofemoral joint; analyze the curvature of the femoral trochlea in said patellofemoral joint; and determine whether any of said analyzed curvatures indicate that the patellofemoral joint is dysplastic or deformed. If any of said analyzed curvatures indicate that the patellofemoral joint is dysplastic or deformed, the at least one processor is arranged to propose an improved curvature of the articulating surface of the patella and/or the femoral trochlea; and determine the shape and dimensions for a patellar implant that would create said improved curvature of the articulating surface of the patella, and/or a trochlear implant that would create said improved curvature of the articulating surface of the femoral trochlea.

9.20240249831PLATFORM FOR DETERMINING A COMPETENCY SCORE
US - 25.07.2024
Int.Class G16H 40/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
20for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
 Appl.No 18628457 Applicant Firefly Lab, LLC Inventor Jonathan Lee Jesneck

The invention provides platforms and methods for determining competency scores and predicting outcomes for healthcare professionals. The platforms and methods utilize performance evaluations obtained from evaluator healthcare professionals for a target healthcare professional and matched peer group, and can be used for evaluating current performance and predicting future performance.

10.20240249839SYSTEMS, SOFTWARE, AND METHODS FOR MULTIOMIC SINGLE CELL CLASSIFICATION AND PREDICTION AND LONGITUDINAL TRAJECTORY ANALYSIS
US - 25.07.2024
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
 Appl.No 18101102 Applicant lmmunai Inc. Inventor Noam SOLOMON

A system analyzes and maps the immune system through observational genomics, using multiomic single-cell technologies and machine learning, and uses functional genomics for therapy development including treatment outcome analysis, prediction, and recommendations based on multiomics and longitudinal trajectory analysis. Annotation is performed based on a multiomic classifier and the annotation is validated using RNA/protein pattern recognition per cell subset. Annotating may include automated cell type prediction including dimensionality reduction, feature extraction & automated cell type prediction, multiomic batch effect correction and multiomic based multiplet removal, and may involve separation of sub-cell types. Multiomic data used may comprise gene expression data, CITE seq markers, and TCR/BCR data. Cell type specific matching of clinical signatures with perturbation signatures may include mapping signature against large scale CRISPR perturbations in relevant cell type to identify potential drug targets. Mapping may include signature mapping to clinical covariate.

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