Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine.
Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine.
复制标题
人工智能，医疗保健，临床基因组学和精准医学中的药物基因组学方法。
DOI：
10.3389/fgene.2022.929736
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发表时间：
2022
影响因子：
3.7
通讯作者：
Ahmed, Zeeshan
中科院分区：
文献类型：
--
作者：
Abdelhalim, Habiba;Berber, Asude;Lodi, Mudassir;Jain, Rihi;Nair, Achuth;Pappu, Anirudh;Patel, Kush;Venkat, Vignesh;Venkatesan, Cynthia;Wable, Raghu;Dinatale, Matthew;Fu, Allyson;Iyer, Vikram;Kalove, Ishan;Kleyman, Marc;Koutsoutis, Joseph;Menna, David;Paliwal, Mayank;Patel, Nishi;Patel, Thirth;Rafique, Zara;Samadi, Rothela;Varadhan, Roshan;Bolla, Shreyas;Vadapalli, Sreya;Ahmed, Zeeshan
精确的医学有助于改善较早的诊断和慢性疾病的预后。同样的方式，即传统上不同的医学领域，即人工智能，医疗保健，临床基因组学和药物基因组学 - 将它们联系在一起的是它们对精确医学作为一个领域的发展，以及它们如何对患者特异性的贡献，而不是症状特定的患者的影响。该研究用于预防和预测急性或慢性疾病，还讨论了与人工智能，医疗保健，临床基因组学和药物基因组学相关的优势以及当前的挑战。
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well as their multi-omics/genomic data to reach a conclusion regarding how a physician should proceed with a specific treatment. Compared to the symptom-driven approach in medicine, precision medicine considers the critical fact that all patients do not react to the same treatment or medication in the same way. When considering the intersection of traditionally distinct arenas of medicine, that is, artificial intelligence, healthcare, clinical genomics, and pharmacogenomics—what ties them together is their impact on the development of precision medicine as a field and how they each contribute to patient-specific, rather than symptom-specific patient outcomes. This study discusses the impact and integration of these different fields in the scope of precision medicine and how they can be used in preventing and predicting acute or chronic diseases. Additionally, this study also discusses the advantages as well as the current challenges associated with artificial intelligence, healthcare, clinical genomics, and pharmacogenomics.
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影响因子：
2.7
作者：
Ahmed Z;Renart EG;Zeeshan S
通讯作者：
Zeeshan S
DOI：
10.3390/s21196628
发表时间：
2021-10-05
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Bernauer SA;Zitzmann NU;Joda T
通讯作者：
Joda T
影响因子：
4.4
作者：
Babbi G;Martelli PL;Profiti G;Bovo S;Savojardo C;Casadio R
通讯作者：
Casadio R
影响因子：
2.1
作者：
Ahmed, Zeeshan;Kim, Minjung;Liang, Bruce T.
通讯作者：
Liang, Bruce T.
影响因子：
2.1
作者：
Caspar, Sylvan Manuel;Schneider, Timo;Matyas, Gabor
通讯作者：
Matyas, Gabor