Mohammad Abu Zahra, Abdulla Al-Taher, Mohamed Alquhaidan, Tarique Hussain, Izzeldin Ismail, Indah Raya, Mahmoud Kandeel
{"title":"人工智能和个性化医疗的协同作用，可加强疾病的诊断、治疗和预防。","authors":"Mohammad Abu Zahra, Abdulla Al-Taher, Mohamed Alquhaidan, Tarique Hussain, Izzeldin Ismail, Indah Raya, Mahmoud Kandeel","doi":"10.1515/dmpt-2024-0003","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The completion of the Human Genome Project in 2003 marked the beginning of a transformative era in medicine. This milestone laid the foundation for personalized medicine, an innovative approach that customizes healthcare treatments.</p><p><strong>Content: </strong>Central to the advancement of personalized medicine is the understanding of genetic variations and their impact on drug responses. The integration of artificial intelligence (AI) into drug response trials has been pivotal in this domain. These technologies excel in handling large-scale genomic datasets and patient histories, significantly improving diagnostic accuracy, disease prediction and drug discovery. They are particularly effective in addressing complex diseases such as cancer and genetic disorders. Furthermore, the advent of wearable technology, when combined with AI, propels personalized medicine forward by offering real-time health monitoring, which is crucial for early disease detection and management.</p><p><strong>Summary: </strong>The integration of AI into personalized medicine represents a significant advancement in healthcare, promising more accurate diagnoses, effective treatment plans and innovative drug discoveries.</p><p><strong>Outlook: </strong>As technology continues to evolve, the role of AI in enhancing personalized medicine and transforming the healthcare landscape is expected to grow exponentially. This synergy between AI and healthcare holds great promise for the future, potentially revolutionizing the way healthcare is delivered and experienced.</p>","PeriodicalId":11332,"journal":{"name":"Drug metabolism and personalized therapy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease.\",\"authors\":\"Mohammad Abu Zahra, Abdulla Al-Taher, Mohamed Alquhaidan, Tarique Hussain, Izzeldin Ismail, Indah Raya, Mahmoud Kandeel\",\"doi\":\"10.1515/dmpt-2024-0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The completion of the Human Genome Project in 2003 marked the beginning of a transformative era in medicine. This milestone laid the foundation for personalized medicine, an innovative approach that customizes healthcare treatments.</p><p><strong>Content: </strong>Central to the advancement of personalized medicine is the understanding of genetic variations and their impact on drug responses. The integration of artificial intelligence (AI) into drug response trials has been pivotal in this domain. These technologies excel in handling large-scale genomic datasets and patient histories, significantly improving diagnostic accuracy, disease prediction and drug discovery. They are particularly effective in addressing complex diseases such as cancer and genetic disorders. Furthermore, the advent of wearable technology, when combined with AI, propels personalized medicine forward by offering real-time health monitoring, which is crucial for early disease detection and management.</p><p><strong>Summary: </strong>The integration of AI into personalized medicine represents a significant advancement in healthcare, promising more accurate diagnoses, effective treatment plans and innovative drug discoveries.</p><p><strong>Outlook: </strong>As technology continues to evolve, the role of AI in enhancing personalized medicine and transforming the healthcare landscape is expected to grow exponentially. This synergy between AI and healthcare holds great promise for the future, potentially revolutionizing the way healthcare is delivered and experienced.</p>\",\"PeriodicalId\":11332,\"journal\":{\"name\":\"Drug metabolism and personalized therapy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug metabolism and personalized therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/dmpt-2024-0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug metabolism and personalized therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/dmpt-2024-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease.
Introduction: The completion of the Human Genome Project in 2003 marked the beginning of a transformative era in medicine. This milestone laid the foundation for personalized medicine, an innovative approach that customizes healthcare treatments.
Content: Central to the advancement of personalized medicine is the understanding of genetic variations and their impact on drug responses. The integration of artificial intelligence (AI) into drug response trials has been pivotal in this domain. These technologies excel in handling large-scale genomic datasets and patient histories, significantly improving diagnostic accuracy, disease prediction and drug discovery. They are particularly effective in addressing complex diseases such as cancer and genetic disorders. Furthermore, the advent of wearable technology, when combined with AI, propels personalized medicine forward by offering real-time health monitoring, which is crucial for early disease detection and management.
Summary: The integration of AI into personalized medicine represents a significant advancement in healthcare, promising more accurate diagnoses, effective treatment plans and innovative drug discoveries.
Outlook: As technology continues to evolve, the role of AI in enhancing personalized medicine and transforming the healthcare landscape is expected to grow exponentially. This synergy between AI and healthcare holds great promise for the future, potentially revolutionizing the way healthcare is delivered and experienced.
期刊介绍：
Drug Metabolism and Personalized Therapy (DMPT) is a peer-reviewed journal, and is abstracted/indexed in relevant major Abstracting Services. It provides up-to-date research articles, reviews and opinion papers in the wide field of drug metabolism research, covering established, new and potential drugs, environmentally toxic chemicals, the mechanisms by which drugs may interact with each other and with biological systems, and the pharmacological and toxicological consequences of these interactions and drug metabolism and excretion. Topics: drug metabolizing enzymes, pharmacogenetics and pharmacogenomics, biochemical pharmacology, molecular pathology, clinical pharmacology, pharmacokinetics and drug-drug interactions, immunopharmacology, neuropsychopharmacology.
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