公开(公告)号：US20240358808A1

公开(公告)日：2024-10-31

申请号：US18287771

申请日：2022-04-22

Applicant: FLOW PHARMA, INC.

Inventor： Scott BURKHOLZ ,  Reid RUBSAMEN ,  Bradley MINROVIC ,  Colin SPENCER ,  Nicholas DELUCIA

IPC: A61K39/00 ,  G16B15/30 ,  G16B40/00 ,  G16H10/40 ,  G16H50/20

CPC classification number: A61K39/00115 ,  G16B15/30 ,  G16B40/00 ,  G16H10/40 ,  G16H50/20 ,  A61K2039/6093

Abstract: Personalized cancer vaccines are created by predicting whether a first neoantigen or a second neoantigen of an individual cancer patient has a stronger binding affinity for a human leukocyte antigen (HLA) complex of the patient and creating a particle containing the neoantigen with the stronger predicted binding affinity. Such a predicting step includes artificial intelligence, statistical modeling, or a combination thereof. Such a particle is created by encapsulating the neoantigen with the stronger predicted binding affinity for the HLA complex of the patient in a material. Placing the antigen in a particular sized particle is referred to here as Size Exclusion Antigen Presentation Control, (SEAPAC) used in methods of treating the patient using such a personalized cancer vaccine.

公开(公告)号：US12130295B2

公开(公告)日：2024-10-29

申请号：US17508309

申请日：2021-10-22

Applicant: LipoScience, Inc.

Inventor： James D. Otvos ,  Irina Y. Shalaurova

IPC: G01N33/92 ,  A61B5/00 ,  A61B5/055 ,  G01R33/465 ,  G16H10/40 ,  G16H50/30 ,  G16H50/50 ,  G16Z99/00 ,  G16B20/00 ,  G16C20/20

CPC classification number: G01N33/92 ,  A61B5/055 ,  A61B5/7275 ,  G01R33/465 ,  G16H10/40 ,  G16H50/30 ,  G16H50/50 ,  G16Z99/00 ,  G01N2800/32 ,  G16B20/00 ,  G16C20/20

Abstract: Disclosed are methods and systems to determine a subject's metabolic vulnerability index (MVX) score using at least one defined mathematical model of risk. The methods comprise evaluating various biomarkers to distinguish various health risks. In one embodiment, the method comprises evaluating biomarkers to determine a relative risk of premature all-cause mortality. The model may include NMR-derived measurements of GlycA, S-HDLP, branched chain amino acids (BCAAs), ketone bodies, total serum protein, and citrate in at least one biosample of the subject.

公开(公告)号：US20240355443A1

公开(公告)日：2024-10-24

申请号：US18602287

申请日：2024-03-12

Applicant: Tata Consultancy Services Limited

Inventor： Tungadri BOSE ,  Harrisham KAUR ,  Rashmi SINGH ,  Anirban DUTTA ,  Mohammed Monzoorul HAQUE ,  Sharmila Shekhar MANDE

IPC: G16H20/10 ,  G06N20/20 ,  G16H10/40 ,  G16H10/60 ,  G16H50/30 ,  G16H50/70

CPC classification number: G16H20/10 ,  G06N20/20 ,  G16H10/40 ,  G16H10/60 ,  G16H50/30 ,  G16H50/70

Abstract: The present disclosure is related to a method and system for stratification of subjects as one of responders or non-responders to a therapy. It is imperative to critically evaluate the baseline/initial microbiome structure and composition of individuals and stratifying them before prescribing any microbiome-based drug/dietary interventions. The method identifies a panel of biological features/indicators/markers/signatures that can accurately stratify/classify/group individuals into responders and non-responders (for a given microbiome-based drug/therapy) based upon the differences in the metabolic functions of the gut microbial communities between the baseline gut microbiome profile (i.e. before the administration of an intervention) and after treatment gut microbiome profile (i.e. after the administration of the intervention). Individuals with samples showing an improvement in gut-health status after the administration of the pre-biotic intervention were tagged as responders and the rest were tagged as non-responders.

公开(公告)号：US12125569B2

公开(公告)日：2024-10-22

申请号：US17226816

申请日：2021-04-09

Applicant: MASTERCARD INTERNATIONAL INCORPORATED

Inventor： Raman Narayanswamy ,  Przemek Praszczalek ,  Antonia Stroeh ,  Paul Michael Musser ,  Shashi Raghunandan

IPC: G16H10/65 ,  A61B5/00 ,  G06F16/27 ,  G06F21/32 ,  G06K19/06 ,  G16H10/40 ,  G16H40/67

CPC classification number: G16H10/65 ,  A61B5/0022 ,  G06F16/27 ,  G06K19/06037 ,  G06K19/06112 ,  G16H10/40 ,  G16H40/67 ,  G06F21/32

Abstract: Biometrically-linked electronic proof of health status of an individual. In one embodiment, an electronic device including a biometric capture circuitry, a memory, and an electronic processor. The biometric capture circuitry configured to capture one or more biometrics of the individual. The electronic processor is configured to receive the one or more biometrics of the individual that are captured by the biometric capture circuitry, generate a biometric token of the individual based on the one or more biometrics, receive information indicative of a health status of the individual, link the information indicative of the health status of the individual to the biometric token, and control the memory to store the biometric token and the information indicative of the health status of the individual that is linked to the biometric token.

公开(公告)号：US20240345066A1

公开(公告)日：2024-10-17

申请号：US18754127

申请日：2024-06-25

Applicant: Matthew Hummer ,  Gregory J. Hummer

Inventor： Matthew Hummer ,  Gregory J. Hummer

IPC: G01N33/487 ,  G01N33/569 ,  G16H10/40

CPC classification number: G01N33/48792 ,  G01N33/48714 ,  G01N33/4875 ,  G01N33/56983 ,  G16H10/40

Abstract: The embodiments disclose a sensor for detecting an analyte including at least one substrate, a first conductive layer added to the at least one substrate forming an electrode pattern with at least two working electrodes and one counter electrode, a second conductive layer added to the first conductive layer that forms the electrode pattern with at least two working electrodes and one counter electrode, at least one single-stranded molecule bound to the second conductive layer, wherein the at least one single-stranded molecule binds to the analyte when complementary single-stranded molecules bond together to form a double-stranded molecule, and wherein the binding of the at least one single-stranded molecule bound to the second conductive layer and at least one single-stranded molecule of the analyte generates a profile response indicative of at least a positive or negative or inconclusive test result.

公开(公告)号：US12112838B2

公开(公告)日：2024-10-08

申请号：US18523564

申请日：2023-11-29

Applicant: NantCell, Inc.

Inventor： Kayvan Niazi ,  Nicholas James Witchey

IPC: G16H10/40 ,  G01N33/58 ,  G06F16/23 ,  G06Q50/04 ,  G16H20/10

CPC classification number: G16H10/40 ,  G01N33/58 ,  G06F16/2379 ,  G06Q50/04 ,  G16H20/10 ,  G06Q2220/00

Abstract: Systems and methods for tracking biological samples are presented. Intrinsic and extrinsic biological sample data and/or intrinsic and extrinsic patient data may be used to label a biological sample obtained at a point-of-care facility, which may be sent to a processing facility, wherein the labeled biological sample undergoes analysis and/or processing into a labeled therapeutic. The labeled therapeutic is delivered back to the point-of-care facility, wherein the labeled therapeutic is tested for the presence of the additives prior to administration to a patient. Multi-factor validation is performed, including validating the identity of the patient to a container, validating the identity of the labeled biological sample/therapeutic to the container, and thus, validating the identity of the labeled therapeutic to the patient. The entire life cycle of a biological sample used to generate a personalized therapeutic is validated, and ensures that mix-ups or errors in administration are reduced or eliminated.

公开(公告)号：US12112244B2

公开(公告)日：2024-10-08

申请号：US17221384

申请日：2021-04-02

Applicant: KPN INNOVATIONS, LLC.

Inventor： Kenneth Neumann

IPC: G06N20/00 ,  A61B5/00 ,  G16H10/40 ,  G16H10/60 ,  G16H20/00

CPC classification number: G06N20/00 ,  A61B5/43 ,  G16H10/40 ,  G16H10/60 ,  G16H20/00

Abstract: A system for generating a procreant functional program includes a computing device configured to obtain a procreant marker as a function of a procreant system, determine a procreant appraisal as a function of the procreant marker, wherein determining further comprises producing a procreant enumeration as a function of the procreant marker, and determining the procreant appraisal as a function of the procreant enumeration, and a safe range, receive a conduct indicator, identify a functional signature as a function of the conduct indicator, wherein identifying further comprises obtaining a salubrious reference, and identifying the functional signature as a function of the salubrious reference and the conduct indicator using a functional machine-learning model, and generate a functional program as a function of the functional signature and procreant appraisal using a program machine-learning model.

公开(公告)号：US12110481B2

公开(公告)日：2024-10-08

申请号：US16607516

申请日：2018-04-18

Applicant: Cytiva Sweden AB

Inventor： Victor Jose ,  Andreas Axen ,  Klaus Gebauer ,  Veena B N Rao ,  Patric Fricking ,  Hanish Lakhani

IPC: C12M1/36 ,  C12M1/00 ,  G16H10/40

CPC classification number: C12M41/48 ,  C12M23/26 ,  C12M23/28 ,  G16H10/40

Abstract: A bio-processing system (100) is presented. The bio-processing system (100) includes one or more bio-processing units (110-114), one or more process supporting devices (116, 118), one or more sensors (120-132), and a bio-processing workflow controller (104) wirelessly coupled to at least one of the one or more bio-processing units (110-114), the one or more process supporting devices (116, 118), and the one or more sensors (120-132). The bio-processing workflow controller (104) includes a processor (202) configured to create a reconfigurable bio-processing workflow, and where the reconfigurable bio-processing workflow is representative of an arrangement of one or more of the one or more bio-processing units (110-114), the one or more process supporting devices (116, 118), and the one or more sensors (120-32) to perform at least one bio-processing operation.

公开(公告)号：US12109008B2

公开(公告)日：2024-10-08

申请号：US17220200

申请日：2021-04-01

Applicant: AtCor Medical Pty Ltd

Inventor： Ahmad M. Qasem

IPC: A61B5/0225 ,  A61B5/00 ,  A61B5/021 ,  A61B5/022 ,  G16H10/40 ,  G16H50/30 ,  G16Z99/00

CPC classification number: A61B5/021 ,  A61B5/022 ,  A61B5/0225 ,  A61B5/7225 ,  A61B5/7253 ,  A61B5/742 ,  G16H10/40 ,  G16H50/30 ,  A61B2560/0223 ,  G16Z99/00

Abstract: A method for determining a calibrated aortic pressure waveform from a brachial cuff waveform involves the use of one or more generalized transfer functions. The one or more generalized transfer functions are specific for predetermined brachial cuff pressure ranges, such as below diastolic pressure, between diastolic and systolic pressure, and above systolic pressure. The brachial cuff is inflated to a pressure within the pressure range appropriate for the generalized transfer function to be applied to the brachial cuff waveform to generate the aortic pressure waveform. In some circumstances, it may be necessary to use a calibration transfer function to generate a calibrated aortic waveform. In other circumstances, the calibration transfer function is not necessary.

公开(公告)号：US20240331813A1

公开(公告)日：2024-10-03

申请号：US18251058

申请日：2021-10-25

Applicant: Robert-Bosch-Krankenhaus GMBH

Inventor： Nico Schmid ,  Severin Schricker

IPC: G16H10/40 ,  G16H50/20

CPC classification number: G16H10/40 ,  G16H50/20

Abstract: A computer-implemented method for providing at least one predicted value for at least one medical laboratory variable, in particular for use in a medical laboratory value analysis. The method includes: providing at least one laboratory value progression which specifies a progression of historical laboratory values of the at least one laboratory variable at at least two historical points in time; ascertaining at least one laboratory variable feature for each of the at least one laboratory variable from the corresponding laboratory value progression; determining the at least one predicted value at a predetermined prediction time on the basis of a trained, data-based prediction model and on the basis of the at least one laboratory variable feature for each of the at least one laboratory value progression.