KR20210018333A - 트레이닝된 통계 모델을 사용하는 멀티 모달 예측을 위한 방법 및 장치 - Google Patents
트레이닝된 통계 모델을 사용하는 멀티 모달 예측을 위한 방법 및 장치 Download PDFInfo
- Publication number
- KR20210018333A KR20210018333A KR1020207037772A KR20207037772A KR20210018333A KR 20210018333 A KR20210018333 A KR 20210018333A KR 1020207037772 A KR1020207037772 A KR 1020207037772A KR 20207037772 A KR20207037772 A KR 20207037772A KR 20210018333 A KR20210018333 A KR 20210018333A
- Authority
- KR
- South Korea
- Prior art keywords
- modality
- data
- encoder
- training
- drug
- 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.)
- Ceased
Links
Images
Classifications
-
- 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
-
- 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
- G16B40/20—Supervised data analysis
-
- 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
- G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
-
- 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
- G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Evolutionary Biology (AREA)
- Biotechnology (AREA)
- Biophysics (AREA)
- Data Mining & Analysis (AREA)
- Chemical & Material Sciences (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Crystallography & Structural Chemistry (AREA)
- Software Systems (AREA)
- Bioethics (AREA)
- Molecular Biology (AREA)
- Public Health (AREA)
- Analytical Chemistry (AREA)
- Genetics & Genomics (AREA)
- Epidemiology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Physiology (AREA)
- Image Analysis (AREA)
- Complex Calculations (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862678083P | 2018-05-30 | 2018-05-30 | |
| US201862678094P | 2018-05-30 | 2018-05-30 | |
| US62/678,094 | 2018-05-30 | ||
| US62/678,083 | 2018-05-30 | ||
| PCT/US2019/031260 WO2019231624A2 (en) | 2018-05-30 | 2019-05-08 | Methods and apparatus for multi-modal prediction using a trained statistical model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20210018333A true KR20210018333A (ko) | 2021-02-17 |
Family
ID=66625356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020207037772A Ceased KR20210018333A (ko) | 2018-05-30 | 2019-05-08 | 트레이닝된 통계 모델을 사용하는 멀티 모달 예측을 위한 방법 및 장치 |
Country Status (9)
| Country | Link |
|---|---|
| EP (1) | EP3803884A2 (https=) |
| JP (1) | JP7490576B2 (https=) |
| KR (1) | KR20210018333A (https=) |
| CN (1) | CN112513990A (https=) |
| AU (1) | AU2019276730A1 (https=) |
| BR (1) | BR112020023429A2 (https=) |
| CA (1) | CA3100065A1 (https=) |
| MX (1) | MX2020012899A (https=) |
| WO (1) | WO2019231624A2 (https=) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20230148523A (ko) * | 2022-04-18 | 2023-10-25 | 한양대학교 산학협력단 | 모달리티의 고유 특성을 보존하는 멀티미디어 추천 방법 및 시스템 |
| WO2024263011A1 (ko) * | 2023-06-23 | 2024-12-26 | 주식회사 엘지 경영개발원 | 멀티태스킹 모델 학습 방법 및 이를 기초로 학습된 머신러닝 모델을 이용한 멀티태스킹 수행 방법 |
| WO2025015037A1 (en) * | 2023-07-10 | 2025-01-16 | Symphony Diagnostics, Inc. | Systems and methods for animal health assessment, surveillance, and enhancement |
| WO2025105524A1 (ko) * | 2023-11-15 | 2025-05-22 | 엘지전자 주식회사 | 인공 지능 서버 및 그의 동작 방법 |
Families Citing this family (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB201904887D0 (en) * | 2019-04-05 | 2019-05-22 | Lifebit Biotech Ltd | Lifebit al |
| JP7332238B2 (ja) * | 2020-03-10 | 2023-08-23 | エスアールアイ インターナショナル | タスク固有のデータ利用のための物理学により誘導されたディープマルチモーダル埋め込みのための方法及び装置 |
| CN111540405B (zh) * | 2020-04-29 | 2023-07-07 | 新疆大学 | 一种基于快速网络嵌入的疾病基因预测方法 |
| CN111627515B (zh) * | 2020-05-29 | 2023-07-18 | 上海商汤智能科技有限公司 | 药物推荐方法、装置、电子设备及介质 |
| WO2022006676A1 (en) * | 2020-07-09 | 2022-01-13 | Mcmaster University | Machine learning prediction of biological effect in multicellular animals from microorganism transcriptional fingerprint patterns in non-inhibitory chemical challenge |
| CN111950295A (zh) * | 2020-08-10 | 2020-11-17 | 北京嘀嘀无限科技发展有限公司 | 一种训练自然语言处理模型的方法和系统 |
| CN112151127A (zh) * | 2020-09-04 | 2020-12-29 | 牛张明 | 基于分子语义向量的无监督学习药物虚拟筛选方法和系统 |
| KR20230137869A (ko) * | 2020-09-25 | 2023-10-05 | 리누스 헬스 인코포레이티드 | 기계 학습 보조 인지 평가 및 치료를 위한 시스템들 및 방법들 |
| US11756572B2 (en) | 2020-12-02 | 2023-09-12 | Google Llc | Self-supervised speech representations for fake audio detection |
| CN112700277B (zh) * | 2020-12-30 | 2024-05-28 | 北京爱笔科技有限公司 | 用户行为数据的处理方法和多行为序列转化模型训练方法 |
| US12579111B2 (en) * | 2020-12-31 | 2026-03-17 | International Business Machines Corporation | Cross-domain structural mapping in machine learning processing |
| CN112862727B (zh) * | 2021-03-16 | 2023-06-23 | 上海壁仞智能科技有限公司 | 一种跨模态图像转换方法及装置 |
| CN113223655B (zh) * | 2021-05-07 | 2023-05-12 | 西安电子科技大学 | 基于变分自编码器的药物-疾病关联预测方法 |
| JP7674636B2 (ja) * | 2021-09-27 | 2025-05-12 | オムロン株式会社 | モデル生成方法、データ提示方法、データ生成方法、推定方法、モデル生成装置、データ提示装置、データ生成装置、及び推定装置 |
| CN113869417B (zh) * | 2021-09-28 | 2025-11-14 | 清华大学 | 基于自监督和多模态的基因数据模型训练方法及装置 |
| CN113987345A (zh) * | 2021-10-27 | 2022-01-28 | 北京百度网讯科技有限公司 | 数据处理的方法、装置、设备、存储介质及程序产品 |
| CN114049930B (zh) * | 2021-11-12 | 2024-07-16 | 东南大学 | 一种基于异质网络表示学习的中药药方重定位方法 |
| CN114429787B (zh) * | 2021-12-30 | 2023-04-18 | 北京百度网讯科技有限公司 | 组学数据处理方法、装置、电子设备和存储介质 |
| CN114334038B (zh) * | 2021-12-31 | 2024-05-14 | 杭州师范大学 | 一种基于异质网络嵌入模型的疾病药物预测方法 |
| CN114613450B (zh) * | 2022-03-09 | 2025-09-19 | 平安科技(深圳)有限公司 | 药物分子的性质预测方法、装置、存储介质及计算机设备 |
| CN114626480B (zh) * | 2022-03-22 | 2024-12-13 | 国网智能电网研究院有限公司 | 多源异构数据特征提取装置、方法、存储介质及电子设备 |
| WO2023193935A1 (en) * | 2022-04-08 | 2023-10-12 | NEC Laboratories Europe GmbH | Method and system for predicting gene expression perturbations |
| CN114792573B (zh) * | 2022-04-18 | 2023-02-28 | 北京百度网讯科技有限公司 | 药物联用的效果预测方法、模型训练方法、装置及设备 |
| CN118158425A (zh) * | 2022-11-30 | 2024-06-07 | 华为技术有限公司 | 图像压缩系统、图像处理方法和编解码方法及电子设备 |
| CN115587257B (zh) * | 2022-12-13 | 2023-04-07 | 阿里巴巴(中国)有限公司 | 模型超参数优化方法、存储介质和电子设备 |
| KR20240108318A (ko) * | 2022-12-30 | 2024-07-09 | 건국대학교 글로컬산학협력단 | 머신 러닝 기반 메타 분석을 이용하여 계산된 일치된 가중치 연결 점수의 앙상블에 의한 신약 재창출 후보군 예측 방법 및 장치 |
| CN116524997B (zh) * | 2023-05-04 | 2024-07-16 | 电子科技大学 | 基于经典-量子混合神经网络实现药物相互作用结果的预测系统 |
| CN116244484B (zh) * | 2023-05-11 | 2023-08-08 | 山东大学 | 一种面向不平衡数据的联邦跨模态检索方法及系统 |
| CN117133436A (zh) * | 2023-10-17 | 2023-11-28 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | 基于多源数据融合的药物疾病关联预测方法、装置及设备 |
| CN118352085B (zh) * | 2024-06-14 | 2024-09-17 | 之江实验室 | 基于多时间点多模态脑影像数据的脑疾病病程预测系统 |
| WO2026016189A1 (en) * | 2024-07-19 | 2026-01-22 | Antinous Technology Company Limited | Methylation transformer for cancer detection |
| WO2026076576A1 (en) * | 2024-10-08 | 2026-04-16 | Huawei Technologies Co., Ltd. | Devices and methods for in-network learning for dynamic wireless networks |
| CN119830148B (zh) * | 2024-11-14 | 2025-10-28 | 安徽理工大学 | 基于自监督空间学习的跨模态轴承故障诊断方法 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6202049B1 (en) | 1999-03-09 | 2001-03-13 | Matsushita Electric Industrial Co., Ltd. | Identification of unit overlap regions for concatenative speech synthesis system |
| JP5229478B2 (ja) | 2008-12-25 | 2013-07-03 | 日本電気株式会社 | 統計モデル学習装置、統計モデル学習方法、およびプログラム |
| JP2013211616A (ja) | 2012-03-30 | 2013-10-10 | Sony Corp | 端末装置、端末制御方法、プログラム、および情報処理システム |
| US20160170982A1 (en) * | 2014-12-16 | 2016-06-16 | Yahoo! Inc. | Method and System for Joint Representations of Related Concepts |
| JP2019512758A (ja) | 2016-01-15 | 2019-05-16 | 株式会社Preferred Networks | マルチモーダル生成機械学習のためのシステムおよび方法 |
| GB201615051D0 (en) | 2016-09-05 | 2016-10-19 | Kheiron Medical Tech Ltd | Multi-modal medical image procesing |
| CN107545151B (zh) * | 2017-09-01 | 2020-10-16 | 中南大学 | 一种基于低秩矩阵填充的药物重定位方法 |
-
2019
- 2019-05-08 JP JP2020566792A patent/JP7490576B2/ja active Active
- 2019-05-08 AU AU2019276730A patent/AU2019276730A1/en not_active Abandoned
- 2019-05-08 BR BR112020023429-0A patent/BR112020023429A2/pt not_active Application Discontinuation
- 2019-05-08 MX MX2020012899A patent/MX2020012899A/es unknown
- 2019-05-08 WO PCT/US2019/031260 patent/WO2019231624A2/en not_active Ceased
- 2019-05-08 CN CN201980050949.3A patent/CN112513990A/zh active Pending
- 2019-05-08 EP EP19725548.2A patent/EP3803884A2/en not_active Withdrawn
- 2019-05-08 KR KR1020207037772A patent/KR20210018333A/ko not_active Ceased
- 2019-05-08 CA CA3100065A patent/CA3100065A1/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20230148523A (ko) * | 2022-04-18 | 2023-10-25 | 한양대학교 산학협력단 | 모달리티의 고유 특성을 보존하는 멀티미디어 추천 방법 및 시스템 |
| WO2024263011A1 (ko) * | 2023-06-23 | 2024-12-26 | 주식회사 엘지 경영개발원 | 멀티태스킹 모델 학습 방법 및 이를 기초로 학습된 머신러닝 모델을 이용한 멀티태스킹 수행 방법 |
| WO2025015037A1 (en) * | 2023-07-10 | 2025-01-16 | Symphony Diagnostics, Inc. | Systems and methods for animal health assessment, surveillance, and enhancement |
| US12439892B2 (en) | 2023-07-10 | 2025-10-14 | Symphony Diagnositcs, Inc. | Systems and methods for identifying disease causing agents and interventions based on sample metadata and molecular signatures |
| WO2025105524A1 (ko) * | 2023-11-15 | 2025-05-22 | 엘지전자 주식회사 | 인공 지능 서버 및 그의 동작 방법 |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3100065A1 (en) | 2019-12-05 |
| EP3803884A2 (en) | 2021-04-14 |
| WO2019231624A3 (en) | 2020-03-19 |
| AU2019276730A1 (en) | 2020-12-10 |
| JP7490576B2 (ja) | 2024-05-27 |
| MX2020012899A (es) | 2021-02-26 |
| BR112020023429A2 (pt) | 2021-02-23 |
| JP2021526259A (ja) | 2021-09-30 |
| WO2019231624A2 (en) | 2019-12-05 |
| CN112513990A (zh) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7490576B2 (ja) | 訓練された統計モデルを使用するマルチモーダル予測のための方法および装置 | |
| US20240296206A1 (en) | Methods and apparatus for multi-modal prediction using a trained statistical model | |
| US20240420850A1 (en) | Methods and apparatus for making biological predictions using a trained multi-modal statistical model | |
| MacLean | Knowledge graphs and their applications in drug discovery | |
| Morabito et al. | Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review | |
| Huang et al. | Machine learning applications for therapeutic tasks with genomics data | |
| Xu et al. | A comprehensive overview of lncRNA annotation resources | |
| Li et al. | RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks | |
| Zou et al. | Approaches for recognizing disease genes based on network | |
| JP2019512758A (ja) | マルチモーダル生成機械学習のためのシステムおよび方法 | |
| Teng et al. | Adaptive feature selection using v-shaped binary particle swarm optimization | |
| Sławek et al. | ENNET: inferring large gene regulatory networks from expression data using gradient boosting | |
| CN116230070A (zh) | 一种转录因子靶基因关系预测方法、系统、设备和介质 | |
| US20230253076A1 (en) | Local steps in latent space and descriptors-based molecules filtering for conditional molecular generation | |
| Kowald et al. | Transfer learning of clinical outcomes from preclinical molecular data, principles and perspectives | |
| Singh et al. | Prediction of cancer treatment using advancements in machine learning | |
| Boudard et al. | GARN: sampling RNA 3D structure space with game theory and knowledge-based scoring strategies | |
| Li et al. | MIFAM-DTI: a drug-target interactions predicting model based on multi-source information fusion and attention mechanism | |
| Banerjee et al. | From Feature‐Based Chemical Similarity to Chemical Language Models—A Paradigm Shift in Computer‐Aided Molecular Design and Property Predictions | |
| Zhan | DL 101: Basic introduction to deep learning with its application in biomedical related fields | |
| Hakim et al. | PolyLLM: polypharmacy side effect prediction via LLM-based SMILES encodings | |
| Vinod et al. | Trainable subnetworks reveal insights into structure knowledge organization in protein language models | |
| Xu et al. | Bioinformatics and fuzzy logic | |
| Guo et al. | SMCis: An effective algorithm for discovery of Cis-Regulatory modules | |
| Kirchoff | Learning Improved Representations Through Informed Self-Supervision: Applications to Drug Discovery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PA0105 | International application |
St.27 status event code: A-0-1-A10-A15-nap-PA0105 |
|
| PG1501 | Laying open of application |
St.27 status event code: A-1-1-Q10-Q12-nap-PG1501 |
|
| A201 | Request for examination | ||
| E13-X000 | Pre-grant limitation requested |
St.27 status event code: A-2-3-E10-E13-lim-X000 |
|
| P11-X000 | Amendment of application requested |
St.27 status event code: A-2-2-P10-P11-nap-X000 |
|
| P13-X000 | Application amended |
St.27 status event code: A-2-2-P10-P13-nap-X000 |
|
| PA0201 | Request for examination |
St.27 status event code: A-1-2-D10-D11-exm-PA0201 |
|
| P11-X000 | Amendment of application requested |
St.27 status event code: A-2-2-P10-P11-nap-X000 |
|
| P13-X000 | Application amended |
St.27 status event code: A-2-2-P10-P13-nap-X000 |
|
| E902 | Notification of reason for refusal | ||
| PE0902 | Notice of grounds for rejection |
St.27 status event code: A-1-2-D10-D21-exm-PE0902 |
|
| E601 | Decision to refuse application | ||
| PE0601 | Decision on rejection of patent |
St.27 status event code: N-2-6-B10-B15-exm-PE0601 |
|
| R18 | Changes to party contact information recorded |
Free format text: ST27 STATUS EVENT CODE: A-3-3-R10-R18-OTH-X000 (AS PROVIDED BY THE NATIONAL OFFICE) |
|
| R18-X000 | Changes to party contact information recorded |
St.27 status event code: A-3-3-R10-R18-oth-X000 |