Using Functional Genomics and Artificial Intelligence to Reverse Engineer Human Cancer Cells
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| Title: | Using Functional Genomics and Artificial Intelligence to Reverse Engineer Human Cancer Cells |
|---|---|
| Description: | Tremendous progress has been made in the war on cancer, leading to improvements in cancer prevention, detection, and treatment. Together, these advances have resulted in decreasing incidences and a steadily declining death rate from cancer. However, for patients who develop stage IV cancer, cancer that has spread to distant organs, their prognosis remains grim. Conventional chemotherapy is limited in its ability to successfully eradicate metastatic disease. Therefore, new modalities and approaches are desperately needed if we are to make progress toward conquering this last mountaintop of cancer research. This book lays out the rationale for a novel therapeutic strategy using new targeted drugs to develop effective ways to treat patients with metastatic cancer. This strategy uses artificial intelligence methods to leverage the vast amounts of genomic data that have become available in recent years to develop precise and personalized methods of treating patients with metastatic cancer. This strategy, together with modern approaches to immunotherapy, offers hope to the eventual routine cure of metastatic cancer. |
| Authors: | Stephen P. Ethier, Author |
| Resource Type: | eBook. |
| Subjects: | Genomics, Artificial intelligence--Medical applications, Cancer--Genetic aspects, Cancer--Molecular aspects--Research--Data processing |
| Categories: | MEDICAL / Oncology / General, COMPUTERS / Artificial Intelligence / General, MEDICAL / Genetics |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Functional Genomics and Artificial Intelligence to Reverse Engineer Human Cancer Cells – Name: Abstract Label: Description Group: Ab Data: Tremendous progress has been made in the war on cancer, leading to improvements in cancer prevention, detection, and treatment. Together, these advances have resulted in decreasing incidences and a steadily declining death rate from cancer. However, for patients who develop stage IV cancer, cancer that has spread to distant organs, their prognosis remains grim. Conventional chemotherapy is limited in its ability to successfully eradicate metastatic disease. Therefore, new modalities and approaches are desperately needed if we are to make progress toward conquering this last mountaintop of cancer research. This book lays out the rationale for a novel therapeutic strategy using new targeted drugs to develop effective ways to treat patients with metastatic cancer. This strategy uses artificial intelligence methods to leverage the vast amounts of genomic data that have become available in recent years to develop precise and personalized methods of treating patients with metastatic cancer. This strategy, together with modern approaches to immunotherapy, offers hope to the eventual routine cure of metastatic cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Stephen+P%2E+Ethier%2C+Author%22">Stephen P. Ethier, Author</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genomics%22">Genomics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer--Genetic+aspects%22">Cancer--Genetic aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer--Molecular+aspects--Research--Data+processing%22">Cancer--Molecular aspects--Research--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Oncology+%2F+General%22">MEDICAL / Oncology / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Genetics%22">MEDICAL / Genetics</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 616.994042 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Genomics Type: general – SubjectFull: Artificial intelligence--Medical applications Type: general – SubjectFull: Cancer--Genetic aspects Type: general – SubjectFull: Cancer--Molecular aspects--Research--Data processing Type: general Titles: – TitleFull: Using Functional Genomics and Artificial Intelligence to Reverse Engineer Human Cancer Cells Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stephen P. Ethier, Author – PersonEntity: Name: NameFull: Stephen P. Ethier, Author IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 23 M: 03 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9781527592308 – Type: isbn-electronic Value: 9781527592315 Titles: – TitleFull: Using Functional Genomics and Artificial Intelligence to Reverse Engineer Human Cancer Cells Type: main |
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