JP7689494B2 - 患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス - Google Patents
患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス Download PDFInfo
- Publication number
- JP7689494B2 JP7689494B2 JP2021538761A JP2021538761A JP7689494B2 JP 7689494 B2 JP7689494 B2 JP 7689494B2 JP 2021538761 A JP2021538761 A JP 2021538761A JP 2021538761 A JP2021538761 A JP 2021538761A JP 7689494 B2 JP7689494 B2 JP 7689494B2
- Authority
- JP
- Japan
- Prior art keywords
- features
- subjects
- patient
- data
- patients
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
Images
Classifications
-
- 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
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
- G06F18/2115—Selection of the most significant subset of features by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- 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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
- G16H30/00—ICT specially adapted for the handling or processing of medical images
-
- 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
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Physics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Computing Systems (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Bioethics (AREA)
- Radiology & Medical Imaging (AREA)
- Surgery (AREA)
- Urology & Nephrology (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862786739P | 2018-12-31 | 2018-12-31 | |
| US62/786,739 | 2018-12-31 | ||
| PCT/US2019/069149 WO2020142551A1 (en) | 2018-12-31 | 2019-12-31 | A method and process for predicting and analyzing patient cohort response, progression, and survival |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2022516172A JP2022516172A (ja) | 2022-02-24 |
| JPWO2020142551A5 JPWO2020142551A5 (https=) | 2023-01-19 |
| JP2022516172A5 JP2022516172A5 (https=) | 2023-01-19 |
| JP7689494B2 true JP7689494B2 (ja) | 2025-06-06 |
Family
ID=71124056
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021538761A Active JP7689494B2 (ja) | 2018-12-31 | 2019-12-31 | 患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス |
Country Status (6)
| Country | Link |
|---|---|
| US (5) | US11830587B2 (https=) |
| EP (1) | EP3906564A4 (https=) |
| JP (1) | JP7689494B2 (https=) |
| AU (1) | AU2019418813A1 (https=) |
| CA (1) | CA3125449A1 (https=) |
| WO (1) | WO2020142551A1 (https=) |
Families Citing this family (97)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019173283A1 (en) | 2018-03-05 | 2019-09-12 | Marquette University | Method and apparatus for non-invasive hemoglobin level prediction |
| US20210082111A1 (en) * | 2018-03-29 | 2021-03-18 | Sony Corporation | Information processing device, information processing method, and program |
| US20230028954A1 (en) * | 2018-08-30 | 2023-01-26 | Qvh Systems, Llc | Method and system for displaying medical claim information |
| US10978196B2 (en) | 2018-10-17 | 2021-04-13 | Tempus Labs, Inc. | Data-based mental disorder research and treatment systems and methods |
| JP7689494B2 (ja) | 2018-12-31 | 2025-06-06 | テンパス・エーアイ・インコーポレイテッド | 患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス |
| US11875903B2 (en) | 2018-12-31 | 2024-01-16 | Tempus Labs, Inc. | Method and process for predicting and analyzing patient cohort response, progression, and survival |
| WO2020214988A1 (en) | 2019-04-17 | 2020-10-22 | Tempus Labs | Collaborative artificial intelligence method and system |
| EP3745409A1 (en) * | 2019-05-29 | 2020-12-02 | Koninklijke Philips N.V. | Methods and apparatus for generating a graphical representation |
| US20220310208A1 (en) * | 2019-06-13 | 2022-09-29 | Roche Sequencing Solutions, Inc. | Systems and methods with improved user interface for interpreting and visualizing longitudinal |
| US20210065914A1 (en) * | 2019-09-04 | 2021-03-04 | SIVOTEC BioInformatics LLC | Dynamic, real-time, genomics decision support, research, and simulation |
| EP3799074A1 (en) * | 2019-09-30 | 2021-03-31 | Siemens Healthcare GmbH | Healthcare network |
| WO2021081253A1 (en) | 2019-10-22 | 2021-04-29 | Tempus Labs, Inc. | Systems and methods for predicting therapeutic sensitivity |
| EP4070232A4 (en) | 2019-12-05 | 2024-01-31 | Tempus Labs, Inc. | SYSTEMS AND METHODS FOR HIGH-THROUGHPUT ACTIVE SCREENING |
| US20230187074A1 (en) * | 2019-12-31 | 2023-06-15 | Tempus Labs, Inc. | Method and process for predicting and analyzing patient cohort response, progression, and survival |
| US11599800B2 (en) * | 2020-01-28 | 2023-03-07 | Color Genomics, Inc. | Systems and methods for enhanced user specific predictions using machine learning techniques |
| US11476002B2 (en) * | 2020-03-17 | 2022-10-18 | Flatiron Health, Inc. | Clinical risk model |
| US11561178B2 (en) | 2020-04-20 | 2023-01-24 | Tempus Labs, Inc. | Artificial fluorescent image systems and methods |
| CA3174332A1 (en) | 2020-04-21 | 2021-10-28 | Jason PERERA | Tcr/bcr profiling |
| CA3178405A1 (en) | 2020-05-14 | 2021-11-18 | Katherine A. OWEN | Methods and systems for machine learning analysis of single nucleotide polymorphisms in lupus |
| US11581082B2 (en) * | 2020-05-15 | 2023-02-14 | Omniscient Neurotechnology Pty Limited | Subsetting brain data |
| CN115917668A (zh) * | 2020-06-12 | 2023-04-04 | 霍夫曼-拉罗奇有限公司 | 用于促进个体多发性硬化症受试者的协同治疗的大数据处理 |
| WO2021252853A1 (en) * | 2020-06-12 | 2021-12-16 | Flatiron Health, Inc. | Systems and methods for extracting dates associated with a patient condition |
| US11151480B1 (en) * | 2020-06-22 | 2021-10-19 | Sas Institute Inc. | Hyperparameter tuning system results viewer |
| US20220076836A1 (en) * | 2020-09-08 | 2022-03-10 | Genentech, Inc. | Pan-Indication Gradient Boosting Model Using Tumor Kinetics for Survival Prediction |
| CA3192386A1 (en) * | 2020-09-10 | 2022-03-17 | Jim ABRAHAM | Metastasis predictor |
| CN112086199B (zh) * | 2020-09-14 | 2023-06-09 | 中科院计算所西部高等技术研究院 | 基于多组学数据的肝癌数据处理系统 |
| US20220084649A1 (en) * | 2020-09-17 | 2022-03-17 | Medtronic Minimed, Inc. | Infusion systems and methods for patient predictions using association mining |
| JP2023544335A (ja) * | 2020-10-02 | 2023-10-23 | プレノシス,インコーポレイテッド | 機械学習モデルの適応訓練システム及び方法 |
| CN116348960A (zh) * | 2020-10-13 | 2023-06-27 | 伯恩森斯韦伯斯特(以色列)有限责任公司 | 个性化心律失常治疗计划 |
| WO2022081712A1 (en) * | 2020-10-14 | 2022-04-21 | nference, inc. | Systems and methods for retrieving clinical information based on clinical patient data |
| TWI777319B (zh) * | 2020-12-03 | 2022-09-11 | 鴻海精密工業股份有限公司 | 幹細胞密度確定方法、裝置、電腦裝置及儲存介質 |
| WO2022120075A1 (en) * | 2020-12-03 | 2022-06-09 | Foundation Medicine, Inc. | Tree-based model for selecting treatments and determining expected treatment outcomes |
| US11476003B2 (en) * | 2020-12-15 | 2022-10-18 | Biodesix, Inc. | Method for predicting risk of unfavorable outcomes, e.g., in COVID-19 hospitalization, from clinical characteristics and basic laboratory findings |
| WO2022128622A1 (en) * | 2020-12-17 | 2022-06-23 | Koninklijke Philips N.V. | Automatic ranking and rank order display of medical information, and associated devices, systems, and methods |
| US11775878B2 (en) | 2020-12-22 | 2023-10-03 | Sas Institute Inc. | Automated machine learning test system |
| US11613783B2 (en) | 2020-12-31 | 2023-03-28 | Tempus Labs, Inc. | Systems and methods for detecting multi-molecule biomarkers |
| US20220215900A1 (en) | 2021-01-07 | 2022-07-07 | Tempus Labs, Inc. | Systems and methods for joint low-coverage whole genome sequencing and whole exome sequencing inference of copy number variation for clinical diagnostics |
| WO2022159774A2 (en) | 2021-01-21 | 2022-07-28 | Tempus Labs, Inc. | METHODS AND SYSTEMS FOR mRNA BOUNDARY ANALYSIS IN NEXT GENERATION SEQUENCING |
| CN112735606B (zh) * | 2021-01-22 | 2023-04-25 | 张厚德 | 结直肠癌风险预测方法、设备及存储介质 |
| DE102021200650A1 (de) * | 2021-01-26 | 2022-07-28 | Siemens Healthcare Gmbh | Verfahren zum Erstellen eines individuellen Gen-Panel-Plans |
| US20220246297A1 (en) * | 2021-02-01 | 2022-08-04 | Anthem, Inc. | Causal Recommender Engine for Chronic Disease Management |
| US12361542B2 (en) | 2021-03-03 | 2025-07-15 | Tempus Ai, Inc. | Systems and methods for deep orthogonal fusion for multimodal prognostic biomarker discovery |
| US20220285035A1 (en) * | 2021-03-08 | 2022-09-08 | Electronics And Telecommunications Research Institute | Device and method of predicting disease by using elderly cohort data |
| KR102632155B1 (ko) | 2021-03-16 | 2024-01-31 | 재단법인 아산사회복지재단 | 의료 데이터에 기초한 코호트 데이터 처리 장치 및 방법 |
| US12119103B2 (en) | 2021-03-30 | 2024-10-15 | Tempus Ai, Inc. | GANs for latent space visualizations |
| US12288603B2 (en) | 2021-04-09 | 2025-04-29 | Endocanna Health, Inc. | Machine-learning based efficacy predictions based on genetic and biometric information |
| CN115249215A (zh) * | 2021-04-28 | 2022-10-28 | 北京字跳网络技术有限公司 | 图像处理方法、装置、电子设备以及可读存储介质 |
| CN113270200B (zh) * | 2021-05-24 | 2022-12-27 | 平安科技(深圳)有限公司 | 基于人工智能的异常患者识别方法及相关设备 |
| WO2022256782A1 (en) * | 2021-06-02 | 2022-12-08 | Elekta, Inc. | Discreet parameter automated planning |
| CN113488127B (zh) * | 2021-07-28 | 2023-10-20 | 中国医学科学院医学信息研究所 | 一种人口健康数据集敏感度处理方法及系统 |
| US12548645B2 (en) * | 2021-07-30 | 2026-02-10 | Guardant Health, Inc. | Computer architecture for identifying lines of therapy |
| US12399940B2 (en) * | 2021-09-23 | 2025-08-26 | Yahoo Ad Tech Llc | System and method for generating relevant sets of results using datasets |
| US12562275B2 (en) * | 2021-10-08 | 2026-02-24 | International Business Machines Corporation | Interactive subgroup discovery |
| WO2023064309A1 (en) | 2021-10-11 | 2023-04-20 | Tempus Labs, Inc. | Methods and systems for detecting alternative splicing in sequencing data |
| US20250226114A1 (en) * | 2021-10-19 | 2025-07-10 | Koninklijke Philips N.V. | Determining a measure of subject similarity |
| US20230153757A1 (en) * | 2021-11-16 | 2023-05-18 | Atropos LLC | System and Method for Rapid Informatics-Based Prognosis and Treatment Development |
| US20230162815A1 (en) | 2021-11-19 | 2023-05-25 | Tempus Labs, Inc. | Methods and systems for accurate genotyping of repeat polymorphisms |
| JP7699529B2 (ja) * | 2021-11-25 | 2025-06-27 | 株式会社日立製作所 | 計算機システム及びデータ解析方法 |
| KR102837531B1 (ko) * | 2021-11-29 | 2025-07-23 | 서울대학교병원 | 생존곡선의 수학적 모델링을 통한 검사간격 설정 장치 및 그 방법 |
| US20250062023A1 (en) * | 2021-12-16 | 2025-02-20 | Plan Heal Health Companies, Inc. | Machine learning methods and systems for phenotype classifications |
| US20230237384A1 (en) * | 2022-01-13 | 2023-07-27 | General Electric Company | Methods and apparatus to implement a random forest |
| US11526261B1 (en) * | 2022-02-18 | 2022-12-13 | Kpmg Llp | System and method for aggregating and enriching data |
| WO2023159224A1 (en) * | 2022-02-18 | 2023-08-24 | Rajant Health Incorporated | Automated demographic feature space partitioner to create disease ad-hoc demographic sub- population clusters |
| EP4239647A1 (en) | 2022-03-03 | 2023-09-06 | Tempus Labs, Inc. | Systems and methods for deep orthogonal fusion for multimodal prognostic biomarker discovery |
| CA3193098A1 (en) * | 2022-03-16 | 2023-09-16 | Treasure Data, Inc. | Machine learning methods to determine a likelihood for an event to occur through sentiment analysis of digital conversations |
| US20230297781A1 (en) * | 2022-03-16 | 2023-09-21 | Treasure Data, Inc. | Machine learning methods to determine a likelihood for an event to occur through sentiment analysis of digital conversations |
| JP2025510769A (ja) * | 2022-03-25 | 2025-04-15 | サノフイ | 疾患進行予測 |
| WO2023229980A1 (en) * | 2022-05-23 | 2023-11-30 | The Johns Hopkins University | Graphical user interfaces and systems for presenting and analyzing large patient data sets |
| EP4287212A1 (en) | 2022-05-30 | 2023-12-06 | Sophia Genetics S.A. | Machine learning predictive models of treatment response |
| AU2023281175A1 (en) | 2022-05-30 | 2024-12-12 | Sophia Genetics Sa | Machine learning predictive models of treatment response |
| EP4307315A1 (en) | 2022-07-11 | 2024-01-17 | Sophia Genetics SA | Machine learning predictive models of treatment response |
| WO2024006702A1 (en) * | 2022-06-27 | 2024-01-04 | Foundation Medicine, Inc. | Methods and systems for predicting genotypic calls from whole-slide images |
| EP4336516A1 (en) * | 2022-09-08 | 2024-03-13 | Koninklijke Philips N.V. | Methods and systems for visualizing survival statistics for a patient cohort |
| US12204548B2 (en) * | 2022-12-05 | 2025-01-21 | Cedaron Medical, Inc. | User cohort query engine |
| US20240221873A1 (en) * | 2023-01-03 | 2024-07-04 | Unitedhealth Group Incorporated | Systems and methods for evaluating programs |
| US11862324B1 (en) * | 2023-01-23 | 2024-01-02 | Kpn Innovations, Llc. | Apparatus and method for outputting an alimentary program to a user |
| US12592319B1 (en) * | 2023-03-24 | 2026-03-31 | Iqvia Inc. | Early prediction of clinical trial signals |
| EP4447056A1 (en) | 2023-04-13 | 2024-10-16 | Tempus AI, Inc. | Systems and methods for predicting clinical response |
| TW202522504A (zh) * | 2023-05-09 | 2025-06-01 | 美商再生元醫藥公司 | 用於減少樣本數之系統及方法 |
| WO2024249579A2 (en) * | 2023-05-30 | 2024-12-05 | The Trustees Of Columbia University In The City Of New York | System, method, and program product for out of distribution generalization via interventional style transfer |
| JP2024171429A (ja) * | 2023-05-30 | 2024-12-12 | キヤノンメディカルシステムズ株式会社 | 医用情報処理装置、方法及びプログラム |
| US20240403628A1 (en) * | 2023-06-01 | 2024-12-05 | Optum Services (Ireland) Limited | Machine learning techniques for generating impact measures using nonlinear causal inference and predictive risk scores |
| US20240412878A1 (en) * | 2023-06-08 | 2024-12-12 | Fred Hutchinson Cancer Center | Personalized insights into tumor evolution and ai-based treatment decision support systems and methods |
| EP4503046A1 (en) * | 2023-08-01 | 2025-02-05 | Tempus AI, Inc. | Graph based metadata structuring algorithm to enable machine learning |
| WO2025042969A2 (en) * | 2023-08-21 | 2025-02-27 | Manifest Technologies Inc. | Methods of identifying subjects for inclusion and/or exclusion in a clinical trial |
| US20250069713A1 (en) * | 2023-08-24 | 2025-02-27 | GE Precision Healthcare LLC | Systems and methods for longitudinal timeline presentation and predictive clinical decision support |
| US20250079002A1 (en) * | 2023-08-28 | 2025-03-06 | NEC Laboratories Europe GmbH | Interpretable domain adaptation for optimizing cross-cohort predictions from medical data |
| US20250111910A1 (en) | 2023-09-29 | 2025-04-03 | Tempus Al, Inc. | Methods and systems for disease phenotyping using multimodal ehr data and weak supervision |
| CN117198550B (zh) * | 2023-11-07 | 2024-03-19 | 北京青颜博识健康管理有限公司 | 基于大数据的胶原蛋白肽抗衰老评估系统 |
| WO2025111531A1 (en) * | 2023-11-24 | 2025-05-30 | Mayo Foundation For Medical Education And Research | Predicting a therapeutic response to a disease using a large language model |
| WO2025122662A1 (en) | 2023-12-04 | 2025-06-12 | Tempus Ai, Inc. | Systems and methods for detecting somatic variants derived from circulating tumor nucleic acids |
| US20250201386A1 (en) * | 2023-12-13 | 2025-06-19 | Altis Labs, Inc. | Predicting adverse reaction to medical treatment by applying artificial intelligence to medical image data |
| CN117407728B (zh) * | 2023-12-15 | 2024-03-15 | 湖南南华生物技术有限公司 | 一种用于干细胞的存储环境实时监测方法及系统 |
| US20250259702A1 (en) | 2024-02-12 | 2025-08-14 | Tempus Ai, Inc. | Methods and systems for determining blood tumor mutational burden in a liquid biopsy assay |
| US20250316338A1 (en) | 2024-04-04 | 2025-10-09 | Tempus Ai, Inc. | Methods and systems for tumor informed circulating tumor fraction estimation |
| WO2026006850A1 (en) | 2024-06-28 | 2026-01-02 | Tempus Ai, Inc. | Functional biological modeling system |
| CN119741979B (zh) * | 2024-12-12 | 2025-10-17 | 北京工业大学 | 一种基于全局交互传递性与特征融合的多层调控网络关键节点识别方法 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120041772A1 (en) | 2010-08-12 | 2012-02-16 | International Business Machines Corporation | System and method for predicting long-term patient outcome |
| US20160203287A1 (en) | 2013-08-20 | 2016-07-14 | Ohio State Innovation Foundation | Methods for predicting prognosis |
| US20170177822A1 (en) | 2015-12-18 | 2017-06-22 | Pointright Inc. | Systems and methods for providing personalized prognostic profiles |
| US20170199965A1 (en) | 2015-04-21 | 2017-07-13 | Medaware Ltd. | Medical system and method for predicting future outcomes of patient care |
Family Cites Families (60)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10134229A1 (de) * | 2000-08-17 | 2002-02-28 | Ibm | Verfahren und System zum Ermitteln von Abweichungen in Datentabellen |
| US7007035B2 (en) * | 2001-06-08 | 2006-02-28 | The Regents Of The University Of California | Parallel object-oriented decision tree system |
| EP1579383A4 (en) | 2002-10-24 | 2006-12-13 | Univ Duke | BINARY PREDICTION TREE MODELING WITH MANY PREDICTORS AND USES THEREOF FOR CLINICAL AND GENETIC APPLICATIONS |
| US7505948B2 (en) | 2003-11-18 | 2009-03-17 | Aureon Laboratories, Inc. | Support vector regression for censored data |
| US7729865B2 (en) | 2003-10-06 | 2010-06-01 | Cerner Innovation, Inc. | Computerized method and system for automated correlation of genetic test results |
| US7917376B2 (en) | 2003-12-29 | 2011-03-29 | Montefiore Medical Center | System and method for monitoring patient care |
| US20090061422A1 (en) | 2005-04-19 | 2009-03-05 | Linke Steven P | Diagnostic markers of breast cancer treatment and progression and methods of use thereof |
| US20070178501A1 (en) * | 2005-12-06 | 2007-08-02 | Matthew Rabinowitz | System and method for integrating and validating genotypic, phenotypic and medical information into a database according to a standardized ontology |
| US7917525B2 (en) | 2005-12-06 | 2011-03-29 | Ingenix, Inc. | Analyzing administrative healthcare claims data and other data sources |
| US8069055B2 (en) * | 2006-02-09 | 2011-11-29 | General Electric Company | Predictive scheduling for procedure medicine |
| WO2007143401A2 (en) | 2006-06-02 | 2007-12-13 | Koninklijke Philips Electronics, N.V. | Multi-modal imaging system and workstation with support for structured hypothesis testing |
| US20130080134A1 (en) | 2008-07-25 | 2013-03-28 | Fundação D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud | Systems and methods for predicting favorable-risk disease for patients enrolled in active surveillance |
| EP2353113A4 (en) | 2008-10-24 | 2016-01-06 | Optuminsight Inc | DEVICE, SYSTEM AND METHOD FOR FAST KOHORTENTESTUNG |
| EP2322658A1 (en) | 2009-11-13 | 2011-05-18 | Centre National de la Recherche Scientifique (CNRS) | Signature for the diagnosis of breast cancer aggressiveness and genetic instability |
| WO2011153543A2 (en) | 2010-06-04 | 2011-12-08 | Georgetown University | Systems and methods of predicting a subject's medical outcome |
| WO2011163234A1 (en) | 2010-06-21 | 2011-12-29 | Clinical Semantics Technologies Llc | Cohort-selectable faceted display |
| CN103201743B (zh) | 2010-11-08 | 2017-07-18 | 皇家飞利浦电子股份有限公司 | 患者疾病严重性、死亡率和住院时长的连续预测方法 |
| CA2826657A1 (en) | 2011-02-04 | 2012-08-09 | Bioarray Therapeutics, Inc. | Methods of using gene expression signatures to select a method of treatment, predict prognosis, survival, and/or predict response to treatment |
| WO2012119013A1 (en) * | 2011-03-01 | 2012-09-07 | Yale University | PREDICTING GASTROENTEROPANCREATIC NEUROENDOCRINE NEOPLASMS (GEP-NENs) |
| JP2014523589A (ja) | 2011-07-13 | 2014-09-11 | ザ マルチプル ミエローマ リサーチ ファウンデーション, インコーポレイテッド | データ収集及び配信のための方法 |
| WO2013025561A1 (en) | 2011-08-12 | 2013-02-21 | Dnanexus Inc | Sequence read archive interface |
| US20130226612A1 (en) | 2012-02-26 | 2013-08-29 | International Business Machines Corporation | Framework for evidence based case structuring |
| US9104786B2 (en) | 2012-10-12 | 2015-08-11 | International Business Machines Corporation | Iterative refinement of cohorts using visual exploration and data analytics |
| WO2014100509A1 (en) | 2012-12-20 | 2014-06-26 | Dnanexus Inc | Application programming interface for tabular genomic datasets |
| US20140249761A1 (en) | 2013-03-01 | 2014-09-04 | DNANEXUS, Inc. | Characterizing uncharacterized genetic mutations |
| US9414776B2 (en) | 2013-03-06 | 2016-08-16 | Navigated Technologies, LLC | Patient permission-based mobile health-linked information collection and exchange systems and methods |
| US9317578B2 (en) * | 2013-03-14 | 2016-04-19 | International Business Machines Corporation | Decision tree insight discovery |
| WO2015116721A1 (en) | 2014-01-31 | 2015-08-06 | Intermountain Invention Management, Llc | Visualization techniques for population data |
| US10049772B1 (en) | 2014-07-09 | 2018-08-14 | Loyola University Of Chicago | System and method for creation, operation and use of a clinical research database |
| US10755369B2 (en) | 2014-07-16 | 2020-08-25 | Parkland Center For Clinical Innovation | Client management tool system and method |
| SG11201701051RA (en) * | 2014-08-11 | 2017-03-30 | Agency Science Tech & Res | A method for prognosis of ovarian cancer, patient's stratification |
| US20160063212A1 (en) | 2014-09-02 | 2016-03-03 | Kyron, Inc. | System for Generating and Updating Treatment Guidelines and Estimating Effect Size of Treatment Steps |
| US20160196394A1 (en) | 2015-01-07 | 2016-07-07 | Amino, Inc. | Entity cohort discovery and entity profiling |
| WO2016118771A1 (en) * | 2015-01-23 | 2016-07-28 | Data4Cure, Inc. | System and method for drug target and biomarker discovery and diagnosis using a multidimensional multiscale module map |
| US20180144003A1 (en) | 2015-05-18 | 2018-05-24 | Saul Formoso | Automated entity-resolution methods and systems |
| IL258309B2 (en) | 2015-09-24 | 2023-03-01 | Caris Science Inc | Method, device and product of computer software for analyzing biological data |
| WO2017059022A1 (en) | 2015-09-30 | 2017-04-06 | Inform Genomics, Inc. | Systems and methods for predicting treatment-regiment-related outcomes |
| US10790049B2 (en) | 2015-09-30 | 2020-09-29 | University Of Central Florida Research Foundation, Inc. | Method and system for managing health care patient record data |
| JP6991134B2 (ja) | 2015-10-09 | 2022-01-12 | ガーダント ヘルス, インコーポレイテッド | 無細胞dnaを使用する集団ベースの処置レコメンダ |
| WO2017072628A1 (en) | 2015-10-27 | 2017-05-04 | Koninklijke Philips N.V. | Pattern discovery visual analytics system to analyze characteristics of clinical data and generate patient cohorts |
| US20170177597A1 (en) | 2015-12-22 | 2017-06-22 | DNANEXUS, Inc. | Biological data systems |
| US20170237805A1 (en) | 2016-02-12 | 2017-08-17 | DNANEXUS, Inc. | Worker reuse deadline |
| CN108960514B (zh) * | 2016-04-27 | 2022-09-06 | 第四范式(北京)技术有限公司 | 展示预测模型的方法、装置及调整预测模型的方法、装置 |
| US20180165604A1 (en) * | 2016-12-09 | 2018-06-14 | U2 Science Labs A Montana | Systems and methods for automating data science machine learning analytical workflows |
| US11017324B2 (en) | 2017-05-17 | 2021-05-25 | Microsoft Technology Licensing, Llc | Tree ensemble explainability system |
| US11935634B2 (en) | 2017-07-28 | 2024-03-19 | Google Llc | System and method for predicting and summarizing medical events from electronic health records |
| EP3451219A1 (en) * | 2017-08-31 | 2019-03-06 | KBC Groep NV | Improved anomaly detection |
| US20190108912A1 (en) | 2017-10-05 | 2019-04-11 | Iquity, Inc. | Methods for predicting or detecting disease |
| US10977106B2 (en) * | 2018-02-09 | 2021-04-13 | Microsoft Technology Licensing, Llc | Tree-based anomaly detection |
| US11756667B2 (en) | 2018-05-30 | 2023-09-12 | Siemens Healthcare Gmbh | Decision support system for medical therapy planning |
| US11574718B2 (en) | 2018-05-31 | 2023-02-07 | Perthera, Inc. | Outcome driven persona-typing for precision oncology |
| WO2020023671A1 (en) * | 2018-07-24 | 2020-01-30 | Protocol Intelligence, Inc. | Methods and systems for treating cancer and predicting and optimizing treatment outcomes in individual cancer patients |
| US11101043B2 (en) | 2018-09-24 | 2021-08-24 | Zasti Inc. | Hybrid analysis framework for prediction of outcomes in clinical trials |
| EP3857564A1 (en) | 2018-09-29 | 2021-08-04 | F. Hoffmann-La Roche AG | Multimodal machine learning based clinical predictor |
| US20200258601A1 (en) | 2018-10-17 | 2020-08-13 | Tempus Labs | Targeted-panel tumor mutational burden calculation systems and methods |
| US10395772B1 (en) | 2018-10-17 | 2019-08-27 | Tempus Labs | Mobile supplementation, extraction, and analysis of health records |
| US11200985B2 (en) | 2018-10-23 | 2021-12-14 | International Business Machines Corporation | Utilizing unstructured literature and web data to guide study design in healthcare databases |
| US11676719B2 (en) | 2018-12-20 | 2023-06-13 | Oregon Health & Science University | Subtyping heterogeneous disorders using functional random forest models |
| JP7689494B2 (ja) | 2018-12-31 | 2025-06-06 | テンパス・エーアイ・インコーポレイテッド | 患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス |
| US11715565B2 (en) | 2019-11-08 | 2023-08-01 | Tempus Labs, Inc. | Evaluating effect of event on condition using propensity scoring |
-
2019
- 2019-12-31 JP JP2021538761A patent/JP7689494B2/ja active Active
- 2019-12-31 WO PCT/US2019/069149 patent/WO2020142551A1/en not_active Ceased
- 2019-12-31 CA CA3125449A patent/CA3125449A1/en active Pending
- 2019-12-31 EP EP19907146.5A patent/EP3906564A4/en active Pending
- 2019-12-31 US US16/732,168 patent/US11830587B2/en active Active
- 2019-12-31 AU AU2019418813A patent/AU2019418813A1/en not_active Abandoned
-
2020
- 2020-12-31 US US17/139,929 patent/US11037685B2/en active Active
- 2020-12-31 US US17/139,931 patent/US11769572B2/en active Active
-
2021
- 2021-06-24 US US17/356,738 patent/US11309090B2/en active Active
- 2021-07-22 US US17/382,343 patent/US11699507B2/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120041772A1 (en) | 2010-08-12 | 2012-02-16 | International Business Machines Corporation | System and method for predicting long-term patient outcome |
| US20160203287A1 (en) | 2013-08-20 | 2016-07-14 | Ohio State Innovation Foundation | Methods for predicting prognosis |
| US20170199965A1 (en) | 2015-04-21 | 2017-07-13 | Medaware Ltd. | Medical system and method for predicting future outcomes of patient care |
| US20170177822A1 (en) | 2015-12-18 | 2017-06-22 | Pointright Inc. | Systems and methods for providing personalized prognostic profiles |
Also Published As
| Publication number | Publication date |
|---|---|
| EP3906564A4 (en) | 2022-09-07 |
| US20210125731A1 (en) | 2021-04-29 |
| US20210125730A1 (en) | 2021-04-29 |
| CA3125449A1 (en) | 2020-07-09 |
| US11309090B2 (en) | 2022-04-19 |
| WO2020142551A1 (en) | 2020-07-09 |
| EP3906564A1 (en) | 2021-11-10 |
| US20200211716A1 (en) | 2020-07-02 |
| JP2022516172A (ja) | 2022-02-24 |
| US11037685B2 (en) | 2021-06-15 |
| AU2019418813A1 (en) | 2021-07-22 |
| US11769572B2 (en) | 2023-09-26 |
| US11830587B2 (en) | 2023-11-28 |
| US11699507B2 (en) | 2023-07-11 |
| US20210319908A1 (en) | 2021-10-14 |
| US20210350937A1 (en) | 2021-11-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7689494B2 (ja) | 患者コホートの反応、増悪、および生存を予測し解析するための方法およびプロセス | |
| US20220270763A1 (en) | Method and process for predicting and analyzing patient cohort response, progression, and survival | |
| US11875903B2 (en) | Method and process for predicting and analyzing patient cohort response, progression, and survival | |
| JP7638963B2 (ja) | 高次元時系列薬剤データからの教師なし学習および治療ラインの予測 | |
| US20250200401A1 (en) | Artificial intelligence engine for directed hypothesis generation and ranking | |
| US20250131996A1 (en) | Systems and methods for interrogating clinical documents for characteristic data | |
| Toh et al. | Looking beyond the hype: applied AI and machine learning in translational medicine | |
| US20240087747A1 (en) | Method and process for predicting and analyzing patient cohort response, progression, and survival | |
| Xie et al. | Deep learning for image analysis: Personalizing medicine closer to the point of care | |
| US20220208305A1 (en) | Artificial intelligence driven therapy curation and prioritization | |
| Qu et al. | Visual analytics of genomic and cancer data: a systematic review | |
| US12119103B2 (en) | GANs for latent space visualizations | |
| WO2016118771A1 (en) | System and method for drug target and biomarker discovery and diagnosis using a multidimensional multiscale module map | |
| Anderson et al. | Personalised analytics for rare disease diagnostics | |
| Das et al. | Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic review | |
| Yuan et al. | Application of machine learning in the management of lymphoma: Current practice and future prospects | |
| Yu et al. | PCAO2: an ontology for integration of prostate cancer associated genotypic, phenotypic and lifestyle data | |
| Singh et al. | Big data in oncology: Extracting knowledge from machine learning | |
| Antunes et al. | Machine learning models for predicting prostate cancer recurrence and identifying potential molecular biomarkers | |
| De La Hoz-M et al. | Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ‐Biplot Statistical Methods | |
| Mohammed et al. | Rise of deep learning clinical applications and challenges in omics data: a systematic review. Diagnostics. 2023; 13: 664 | |
| Xu et al. | Interpretable multiclassification machine learning models in predicting the extent of small cell lung cancer metastasis | |
| Lomoio et al. | E-ABIN: an explainable module for anomaly detection in biological networks | |
| Levy | Emerging Diagnostic and Investigative Technologies: Validation of Deep Learning Technologies for DNA Methylation and Histopathology | |
| Cosmina-Mihaela et al. | Advances in Cancer Through Machine Learning Models |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20221228 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20221228 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20240122 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240417 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20240624 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240924 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20241223 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20250109 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20250430 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20250527 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7689494 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |