MX2021006234A - Perfilado molecular de proxima generacion. - Google Patents

Perfilado molecular de proxima generacion.

Info

Publication number
MX2021006234A
MX2021006234A MX2021006234A MX2021006234A MX2021006234A MX 2021006234 A MX2021006234 A MX 2021006234A MX 2021006234 A MX2021006234 A MX 2021006234A MX 2021006234 A MX2021006234 A MX 2021006234A MX 2021006234 A MX2021006234 A MX 2021006234A
Authority
MX
Mexico
Prior art keywords
response
treatment
data
folfox
treatments
Prior art date
Application number
MX2021006234A
Other languages
English (en)
Inventor
Jim Abraham
David Spetzler
Anthony Helmstetter
Wolfgang Michael Korn
Daniel Magee
Original Assignee
Caris Mpi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Caris Mpi Inc filed Critical Caris Mpi Inc
Publication of MX2021006234A publication Critical patent/MX2021006234A/es

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/10—Ploidy or copy number detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

El perfilado molecular exhaustivo proporciona una abundancia de datos concernientes al estado molecular de muestras del paciente. Tales datos se pueden comparar a la respuesta del paciente a los tratamientos para identificar firmas de biomarcador que predicen la respuesta o no respuesta a tales tratamientos. Este procedimiento se ha aplicado para identificar firmas de biomarcador que se correlacionan fuertemente con la respuesta de pacientes con cáncer colorrectal a FOLFOX. Se describen en la presente estructuras de datos, procesamiento de datos y modelos de aprendizaje en máquina para predecir la efectividad de un tratamiento para una enfermedad o trastorno de un sujeto que tiene un conjunto particular de biomarcadores, así como una aplicación ejemplar de tal modelo a la medicina de precisión, por ejemplo, a métodos para seleccionar un tratamiento en base a un perfil molecular, por ejemplo, un tratamiento que comprende la administración de 5-fluorouracilo/leucovorina combinado con oxaliplatino (FOLFOX) o irinotecán (FOLFIRI).
MX2021006234A 2018-11-30 2019-12-02 Perfilado molecular de proxima generacion. MX2021006234A (es)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201862774082P 2018-11-30 2018-11-30
US201962788689P 2019-01-04 2019-01-04
US201962789495P 2019-01-07 2019-01-07
PCT/US2019/064078 WO2020113237A1 (en) 2018-11-30 2019-12-02 Next-generation molecular profiling

Publications (1)

Publication Number Publication Date
MX2021006234A true MX2021006234A (es) 2021-09-10

Family

ID=70853593

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021006234A MX2021006234A (es) 2018-11-30 2019-12-02 Perfilado molecular de proxima generacion.

Country Status (9)

Country Link
US (2) US11315673B2 (es)
EP (1) EP3888021B1 (es)
JP (1) JP7462632B2 (es)
KR (1) KR20210111254A (es)
AU (1) AU2019389175A1 (es)
CA (1) CA3121170A1 (es)
IL (2) IL311084A (es)
MX (1) MX2021006234A (es)
WO (1) WO2020113237A1 (es)

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AU2020397802A1 (en) * 2019-12-02 2022-06-16 Caris Mpi, Inc. Pan-cancer platinum response predictor
JP2023503739A (ja) * 2019-12-05 2023-02-01 イルミナ インコーポレイテッド 遺伝子融合の迅速な検出
CN111767390A (zh) * 2020-06-28 2020-10-13 北京百度网讯科技有限公司 技能词评估方法及装置、电子设备、计算机可读介质
WO2022029488A1 (en) * 2020-08-06 2022-02-10 Agenda Nv Systems and methods of assessing breast cancer
US11335443B1 (en) 2020-09-07 2022-05-17 OpenNano Pte. Ltd. Phenotypic patient data derivation from economic data
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CN112768076B (zh) * 2021-02-01 2023-11-21 华中科技大学同济医学院附属协和医院 一种食管癌化疗发生骨髓抑制的风险预测模型构建方法
US11550580B2 (en) * 2021-02-24 2023-01-10 Northrop Grumman Systems Corporation Systems and methods for emulating a processor
WO2022246416A2 (en) * 2021-05-18 2022-11-24 Venn Biosciences Corporation Biomarkers for diagnosing ovarian cancer
WO2023092108A2 (en) * 2021-11-19 2023-05-25 Insitro, Inc. Autonomous cell imaging and modeling system
WO2023164665A1 (en) * 2022-02-25 2023-08-31 Fred Hutchinson Cancer Center Machine learning applications to predict biological outcomes and elucidate underlying biological mechanisms
WO2024006639A2 (en) * 2022-06-27 2024-01-04 Deep Rx Inc. Machine-learning computer systems and methods for predicting efficacy of chemical and biological agents for treating diseases, such as gastrointestinal cancers
WO2024038618A1 (ja) * 2022-08-19 2024-02-22 株式会社ＵＴ−Ｈｅａｒｔ研究所 インシリコ心疾患データベース活用方法、インシリコ心疾患データベース活用プログラム、および情報処理装置
WO2024057316A1 (en) * 2022-09-13 2024-03-21 The Open University Of Israel System and method of predicting a gene expression profile
CN115631849B (zh) * 2022-10-19 2023-04-28 哈尔滨工业大学 基于深度神经网络的乳腺癌预后指示系统、存储介质及设备

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