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Analysis

1.20220254460SYSTEM AND METHOD FOR ASSESSING IMMUNE STATUS RELATED TO TRANSMISSIBLE INFECTIOUS DISEASES FOR MITIGATING AGAINST TRANSMISSION
US 11.08.2022
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 17540674 Applicant ANDREW BROOKS Inventor ANDREW BROOKS

The invention relates to a solution for mitigating against transmitting, receiving or hosting transfers of infectious diseases through access to a user's health record via a mobile, cloud server-based application. The user's heath record data is stored in the application database, and can include immunization records, test results, and pre-existing conditions. This data is accessed using the mobile application interface by scanning a uniquely generated Quick Response (QR) code, and displayed through an application downloaded to a separate device, such as one owned by a venue. The user's code is scanned to display an immunity score and verified by the user's identification data, matched to data on the second device. This data can also be accessed by other users, such as venue owners who want to insure the health and safety of their patrons.

2.20220254481SYSTEM AND METHOD FOR CUSTOMIZED AUGMENTED REALITY NAVIGATION
US 11.08.2022
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 17669032 Applicant Surgical Theater, Inc. Inventor MORDECHAI AVISAR

A navigation system that utilizes existing mobile computing and mapping technologies and provides a user with a unique and customized augmented reality navigation experience to support user appointments from an arbitrary starting point into the facility where the user has the appointment and ultimately to the destination appointment room. For medical patients, the system can accommodate medical information and instructions regarding the patient using the system.

3.20220248965SELF-CALIBRATING GLUCOSE MONITOR
US 11.08.2022
Int.Class A61B 5/0205
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
02Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
Appl.No 17168761 Applicant Medtronic, Inc. Inventor Richard J. O'Brien

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

4.20220251658METHOD FOR ESTABLISHING AN INDIVIDUAL PHYSICAL ACTIVITY PROGRAM FOR A SUBJECT FOR REDUCING AN INDIVIDUAL RISK OF THE SUBJECT FOR DEVELOPING A CARDIOVASCULAR DISEASE
US 11.08.2022
Int.Class C12Q 1/6883
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
6883for diseases caused by alterations of genetic material
Appl.No 17622149 Applicant Westfaelische Wilhelms-Universitaet Muenster Inventor Boris Schmitz

The present invention relates to a method for establishing an individual physical activity program for a subject for reducing an individual risk of the subject for developing a cardiovascular disease, comprising the following steps: (i) determining the concentration of at least one circulating miRNA in at least one fluid sample obtained from the subject, at least before and after the subject has conducted physical activity; wherein the at least one circulating miRNA is selected from certain miRNAs; (ii) comparing the in step (i) determined concentration(s), wherein the result of this comparison is indicative of whether said subject has an individual risk for developing a cardiovascular disease under certain conditions; and (iii) establishing the individual physical activity program for the subject based on the result of step (ii). The present invention further relates to various uses of miRNAs in any of the methods according to the present invention.

5.20220253418Maintaining User Privacy of Personal, Medical, and Health Care Related Information in Recommendation Systems
US 11.08.2022
Int.Class G06F 16/22
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
22Indexing; Data structures therefor; Storage structures
Appl.No 17700308 Applicant Life Spectacular, Inc., d/b/a Proven Skincare Inventor Zaoshi Amy Yuan

Systems and methods for providing recommendations to users while maintaining privacy and information security for those users. In particular, user demographic information and/or geographic/environmental information can be represented as hashes, or fingerprints, which in turn can define a dimension of a recommendation matrix having another dimension defined by attributes of products, services, routines, and so on that may be associated with recommendations to the user. The values of the recommendation matrix can correspond to normalized customer review data and/or other data.

6.202022100821Ein auf maschinellem Lernen basierendes System zur medizinischen Diagnose von COVID-19 anhand klinischer und labortechnischer Marker
DE 11.08.2022
Int.Class G16H 50/30
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
30for calculating health indices; for individual health risk assessment
Appl.No 202022100821 Applicant Chadaga Krishnaraj Inventor

Ein auf maschinellem Lernen basierendes System zur Durchführung einer medizinischen Diagnose von COVID-19 unter Verwendung von klinischen und Labormarkern, wobei das System umfasst: eine Vorverarbeitungseinheit zum Bereinigen der erhaltenen Datensätze durch Entfernen der redundanten Zeilen und Spalten, wobei die Spalten und Zeilen, die Nullwerte enthalten, entfernt werden und der Datensatz getrimmt wird, und wobei nach der Vorverarbeitung der Datensatz 20 Spalten enthält und die fehlenden Daten mit dem Mittelwert der entsprechenden Spalten imputiert werden; eine Merkmalsverarbeitungseinheit zum Durchführen einer Korrelationsanalyse und zum Bewerten der Merkmalsbedeutung, wobei die Korrelation zwischen den Attributen und dem Etikett unter Verwendung des Pearson-Korrelationskoeffizienten (PCC) bewertet wird und die Merkmalsbedeutung unter Verwendung von Random Forest und der Shapley-Additiv-Erklärungsmethode (SHAP) bewertet wird; eine SMOTE-Verarbeitungseinheit zur Durchführung einer Überabtastung des erhaltenen bereinigten Datensatzes zur Verbesserung der Unausgewogenheit desselben unter Verwendung der SMOTE-Technik (Synthetic Minority Over-sampling Technique), wobei die SMOTE-Technik synthetisierte Daten unter Verwendung eines K-Nearest-Neighbor-Verfahrens erzeugt; eine Klassifizierungseinheit zur Vorhersage von Covid-19 unter Verwendung verschiedener Klassifizierer, nämlich Random Forest, Logistische Regression, K-Nächster Nachbar und Extreme Gradient Boost (XGboost); und eine Gittersuch-Verarbeitungseinheit zur Optimierung des Systems unter Verwendung einer Gittersuch-Hyperparameter-Abstimmungstechnik, bei der die besten Hyperparameterwerte berechnet werden. embedded image

7.WO/2022/167243SPEECH PROCESSING METHOD FOR IDENTIFYING DATA REPRESENTATIONS FOR USE IN MONITORING OR DIAGNOSIS OF A HEALTH CONDITION
WO 11.08.2022
Int.Class G16H 50/70
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
70for mining of medical data, e.g. analysing previous cases of other patients
Appl.No PCT/EP2022/051453 Applicant NOVOIC LTD. Inventor WESTON, Jack
The invention relates to a computer implemented method for identifying clinically meaningful representations of speech data for monitoring or diagnosis of a health condition, the method comprising: providing a main model comprising a trained neural network, trained to map an input representation encoding input speech data from a speaker to an output representation for use in providing a health condition prediction, the neural network comprising one or more internal network layers each comprising an internal representation which is passed to a subsequent network layer; inputting speech data from a speaker into the main model to form the internal representations of the input speech data; training a probe comprising a machine learning model, independently to the training of the main model, to map an internal representation of the input speech data an internal network layer of the main model to an independently determined measure of a clinically-relevant feature of the input speech data or the speaker, where a clinically-relevant feature is a property of the input speech or speaker that is impacted by a health condition. By training a probe externally to the main model, to map an internal representation to an independently determined measure of a clinically-relevant feature, it is possible to identify associations within the internal representations that otherwise might not be found by the main model and to build improved representations based on these associations.
8.WO/2022/167453TOUCH-FREE INFECTIOUS DISEASE SCREENING
WO 11.08.2022
Int.Class G16H 10/20
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
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
20for electronic clinical trials or questionnaires
Appl.No PCT/EP2022/052410 Applicant KONINKLIJKE PHILIPS N.V. Inventor VAN ZON, Cornelis
A security gateway for touch-free infectious disease screening includes a contactless sensor, a memory and a processor. The contactless sensor is configured to obtain health readings of a subject. The memory stores instructions. The processor executes the instructions. When executed by the processor, the instructions cause the security gateway to measure vital signs based on the health readings of the subject, and determine whether to allow access to a premise based on the vital signs.
9.202022101928Auf maschinellem Lernen basierendes System zur Erkennung von Brustkrebs mit einem Nahfeld-Mikrowellen-Antennensensor
DE 11.08.2022
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 202022101928 Applicant Chowdhury Manas Ranjan Inventor

Ein auf maschinellem Lernen basierendes System (10) zur Erkennung von Brustkrebs unter Verwendung eines Nahfeld-Mikrowellen- Antennensensors, wobei das System umfasst: einen Mikrowellenantennensensor (1), der zum Senden und Empfangen von Mikrowellensignalen verwendet wird, wobei der Mikrowellenantennensensor (1) so positioniert ist, dass er Mikrowellenenergie in die Brust sendet und die gesendete Mikrowellenenergie empfängt, nachdem das Signal in die Brust gelangt ist; eine Mikrowellenantennensensor-Positionseinstellvorrichtung (2), wobei die Mikrowellenantennensensor-Positionseinstellvorrichtung (2) verwendet wird, um den Mikrowellenantennensensor (1) von einer Position zu einer anderen Position zu bewegen, um den Tumorort auf der Brust zu erfassen; eine Kommunikationseinheit (3), die zur Übermittlung der Informationen vom Mikrowellenantennensensor (1) verwendet wird; und eine zentrale Steuereinheit (4), die so konfiguriert ist, dass sie einen maschinellen Lernalgorithmus verarbeitet, der das Vorhandensein von Werten unterhalb eines Schwellenwerts in dem empfangenen Mikrowellensignal bestimmt, die mit dem Vorhandensein eines Brustkrebses im Brustgewebe in Verbindung stehen. embedded image

10.20220249012SYSTEMS, DEVICES AND METHODS FOR DISPENSING PERSONALIZED PRODUCTS INCLUDING PHYSIOLOGICAL CYCLE PROGRESSION AND PERSONALIZED SKINCARE RECOMMENDATION
US 11.08.2022
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 17581606 Applicant L'Oreal Inventor Guive Balooch

Systems, devices, and methods are described for generate at least one instances of a skin state and at least one instances of a personalized skincare recommendation responsive to receiving one or more inputs indicative of a predicted physiological cycle progression. The system includes a mitigation unit including computational circuitry configured to generate a personalized skincare recommendation responsive to one or more inputs indicative of the onset of the change in the skin state; and a skin-state display unit including computational circuitry configured to generate one or more instances of the skin state and one or more instances of a personalized skincare recommendation.