AU2018375214A1 - Systems and methods for assessing drug efficacy - Google Patents
Systems and methods for assessing drug efficacy Download PDFInfo
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- AU2018375214A1 AU2018375214A1 AU2018375214A AU2018375214A AU2018375214A1 AU 2018375214 A1 AU2018375214 A1 AU 2018375214A1 AU 2018375214 A AU2018375214 A AU 2018375214A AU 2018375214 A AU2018375214 A AU 2018375214A AU 2018375214 A1 AU2018375214 A1 AU 2018375214A1
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- trained
- learning classifier
- responsiveness
- checkpoint inhibition
- systems
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- 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.)
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- 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
- 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
- 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
- G16B45/00—ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
-
- 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
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biotechnology (AREA)
- Evolutionary Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Computational Linguistics (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Bioethics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Image Analysis (AREA)
- Peptides Or Proteins (AREA)
Abstract
Provided is a computer-implemented method, including inputting to a trained machine learning classifier genomic information of a non-training subject that includes features from a tumor sample, wherein the trained machine learning classifier trained on features of tumor samples obtained from training subjects and their a responsiveness to checkpoint inhibition treatment and the machine-learning classifier is trained to predict responsiveness to the treatment, and generating a checkpoint inhibition responsiveness classification predictive of the subject's responding to the checkpoint inhibition with the trained machine-learning classifier, and reporting the checkpoint inhibition responsiveness classification using a graphical user interface. Also provided are a computer system for performing the method and a machine learning classifier trained by the method.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762593802P | 2017-12-01 | 2017-12-01 | |
| US62/593,802 | 2017-12-01 | ||
| PCT/US2018/063658 WO2019109089A1 (en) | 2017-12-01 | 2018-12-03 | Systems and methods for assessing drug efficacy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2018375214A1 true AU2018375214A1 (en) | 2019-12-12 |
Family
ID=64734247
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2018375214A Pending AU2018375214A1 (en) | 2017-12-01 | 2018-12-03 | Systems and methods for assessing drug efficacy |
Country Status (11)
| Country | Link |
|---|---|
| EP (1) | EP3616205A1 (en) |
| JP (1) | JP7429539B2 (en) |
| KR (1) | KR20200093437A (en) |
| CN (1) | CN110678930B (en) |
| AU (1) | AU2018375214A1 (en) |
| BR (1) | BR112019024537A2 (en) |
| CA (1) | CA3061736A1 (en) |
| MX (1) | MX2019014285A (en) |
| SG (1) | SG11201910041WA (en) |
| WO (1) | WO2019109089A1 (en) |
| ZA (1) | ZA201907298B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111863126B (en) * | 2020-05-28 | 2024-03-26 | 上海市生物医药技术研究院 | Method for constructing colorectal tumor state evaluation model and application |
| CN111640508B (en) * | 2020-05-28 | 2023-08-01 | 上海市生物医药技术研究院 | Method and application of pan-tumor targeted drug sensitivity state assessment model constructed based on high-throughput sequencing data and clinical phenotypes |
| CN111755073B (en) * | 2020-05-31 | 2022-11-15 | 复旦大学 | Transcriptome-based PD-1 therapy treatment effect prediction system |
| CN113095440B (en) * | 2020-09-01 | 2022-05-17 | 电子科技大学 | Training data generation method based on metalearner and causal effect heterogeneous reaction difference estimation method |
| IL310769A (en) * | 2021-08-11 | 2024-04-01 | Oncohost Ltd | Predicting patient response |
| CN114694745A (en) * | 2022-03-24 | 2022-07-01 | 至本医疗科技（上海）有限公司 | Method, apparatus, computer device and storage medium for predicting an immune efficacy |
| WO2023230321A1 (en) * | 2022-05-27 | 2023-11-30 | Cofactor Genomics, Inc. | Machine learning systems and methods for gene set enrichment analysis and scoring |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110106740A1 (en) * | 2002-05-24 | 2011-05-05 | University Of South Florida | Tissue classification method for diagnosis and treatment of tumors |
| AU2015267008A1 (en) * | 2014-05-28 | 2017-01-05 | Dana-Farber Cancer Institute, Inc. | Activating JAK kinase biomarkers predictive of anti-immune checkpoint inhibitor response |
| CN104573410A (en) * | 2015-01-20 | 2015-04-29 | 合肥工业大学 | Cancer chemosensitivity prediction technique based on molecular subnet and random forest classifier |
| US20190112633A1 (en) * | 2016-03-31 | 2019-04-18 | Pamgene Bv | Method for predicting the response of melanoma patients to a medicament |
| CN109790583B (en) * | 2016-05-17 | 2023-08-25 | 基因中心治疗公司 | Methods for typing lung adenocarcinoma subtypes |
-
2018
- 2018-12-03 SG SG11201910041W patent/SG11201910041WA/en unknown
- 2018-12-03 CA CA3061736A patent/CA3061736A1/en active Pending
- 2018-12-03 WO PCT/US2018/063658 patent/WO2019109089A1/en unknown
- 2018-12-03 CN CN201880036325.1A patent/CN110678930B/en active Active
- 2018-12-03 JP JP2019566271A patent/JP7429539B2/en active Active
- 2018-12-03 EP EP18821929.9A patent/EP3616205A1/en active Pending
- 2018-12-03 AU AU2018375214A patent/AU2018375214A1/en active Pending
- 2018-12-03 KR KR1020197035545A patent/KR20200093437A/en active Search and Examination
- 2018-12-03 MX MX2019014285A patent/MX2019014285A/en unknown
- 2018-12-03 BR BR112019024537A patent/BR112019024537A2/en unknown
-
2019
- 2019-11-04 ZA ZA2019/07298A patent/ZA201907298B/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| ZA201907298B (en) | 2023-06-28 |
| MX2019014285A (en) | 2020-01-27 |
| CN110678930A (en) | 2020-01-10 |
| JP2021505976A (en) | 2021-02-18 |
| JP7429539B2 (en) | 2024-02-08 |
| NZ759413A (en) | 2022-03-25 |
| KR20200093437A (en) | 2020-08-05 |
| EP3616205A1 (en) | 2020-03-04 |
| CA3061736A1 (en) | 2019-06-06 |
| CN110678930B (en) | 2023-06-20 |
| BR112019024537A2 (en) | 2020-06-09 |
| WO2019109089A1 (en) | 2019-06-06 |
| SG11201910041WA (en) | 2019-11-28 |
| RU2019135697A (en) | 2022-01-04 |
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