Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension
Abstract It is a complex disease with multiple pathogenesis that causes pulmonary hypertension (PH). In addition to the commonly used drugs for treating PH, pharmacogenomic therapies are facilitating the innovation of personalized medicine to treat PH. Meanwhile, gene therapy has been extensively st...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2025-01-01
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| Series: | Interdisciplinary Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/INMD.20240029 |
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| author | Chenxi Li Jipeng Xue Dongchen Zhou Xiaomeng Qi Ting Chen Zhoubin Li |
| author_facet | Chenxi Li Jipeng Xue Dongchen Zhou Xiaomeng Qi Ting Chen Zhoubin Li |
| author_sort | Chenxi Li |
| collection | DOAJ |
| description | Abstract It is a complex disease with multiple pathogenesis that causes pulmonary hypertension (PH). In addition to the commonly used drugs for treating PH, pharmacogenomic therapies are facilitating the innovation of personalized medicine to treat PH. Meanwhile, gene therapy has been extensively studied but is a quite challenging task. Furthermore, the gradual widespread application of omics analyses, big data and machine learning is a trend to improve the efficacy of drugs and gene therapy of PH. They are widely used in the screening of drug therapeutic targets and predicting drugs therapeutic effect. The emergence of innovative diagnosis and treatment approaches for PH opens pathways for combining personalized medicine with established pharmacological and gene therapies to achieve effective treatment strategies and further decrease the mortality rate associated with this disease. |
| format | Article |
| id | doaj-art-7b1be9b139ee48718ab000bf868514a6 |
| institution | Kabale University |
| issn | 2832-6245 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Interdisciplinary Medicine |
| spelling | doaj-art-7b1be9b139ee48718ab000bf868514a62025-01-25T17:57:32ZengWiley-VCHInterdisciplinary Medicine2832-62452025-01-0131n/an/a10.1002/INMD.20240029Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertensionChenxi Li0Jipeng Xue1Dongchen Zhou2Xiaomeng Qi3Ting Chen4Zhoubin Li5Department of Cardiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaDepartment of Cardiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaDepartment of Cardiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaDepartment of Cardiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaDepartment of Cardiology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaDepartment of Lung Transplantation and General Thoracic Surgery The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou ChinaAbstract It is a complex disease with multiple pathogenesis that causes pulmonary hypertension (PH). In addition to the commonly used drugs for treating PH, pharmacogenomic therapies are facilitating the innovation of personalized medicine to treat PH. Meanwhile, gene therapy has been extensively studied but is a quite challenging task. Furthermore, the gradual widespread application of omics analyses, big data and machine learning is a trend to improve the efficacy of drugs and gene therapy of PH. They are widely used in the screening of drug therapeutic targets and predicting drugs therapeutic effect. The emergence of innovative diagnosis and treatment approaches for PH opens pathways for combining personalized medicine with established pharmacological and gene therapies to achieve effective treatment strategies and further decrease the mortality rate associated with this disease.https://doi.org/10.1002/INMD.20240029big data analyticsmachine learningpharmacogenomicspulmonary hypertensiontherapeutic targets screening |
| spellingShingle | Chenxi Li Jipeng Xue Dongchen Zhou Xiaomeng Qi Ting Chen Zhoubin Li Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension Interdisciplinary Medicine big data analytics machine learning pharmacogenomics pulmonary hypertension therapeutic targets screening |
| title | Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| title_full | Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| title_fullStr | Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| title_full_unstemmed | Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| title_short | Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| title_sort | integrating pharmacogenetics multi omics and machine learning in the novel therapeutic view of pulmonary hypertension |
| topic | big data analytics machine learning pharmacogenomics pulmonary hypertension therapeutic targets screening |
| url | https://doi.org/10.1002/INMD.20240029 |
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