The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease.

Q2 Pharmacology, Toxicology and Pharmaceutics Drug metabolism and personalized therapy Pub Date : 2024-07-15 eCollection Date: 2024-06-01 DOI:10.1515/dmpt-2024-0003

Mohammad Abu Zahra, Abdulla Al-Taher, Mohamed Alquhaidan, Tarique Hussain, Izzeldin Ismail, Indah Raya, Mahmoud Kandeel

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Abstract

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.

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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。

导言：2003 年人类基因组计划的完成标志着医学变革时代的开始。这一里程碑为个性化医疗奠定了基础：推进个性化医疗的核心是了解基因变异及其对药物反应的影响。将人工智能（AI）融入药物反应试验在这一领域至关重要。这些技术在处理大规模基因组数据集和患者病史方面表现出色，大大提高了诊断准确性、疾病预测和药物发现。它们在应对癌症和遗传性疾病等复杂疾病方面尤为有效。此外，可穿戴技术的出现与人工智能相结合，通过提供实时健康监测推动了个性化医疗的发展，这对早期疾病检测和管理至关重要。摘要：将人工智能融入个性化医疗代表着医疗保健领域的重大进步，有望带来更准确的诊断、更有效的治疗方案和创新药物的发现：随着技术的不断发展，人工智能在加强个性化医疗和改变医疗保健格局方面的作用预计将呈指数级增长。人工智能与医疗保健之间的协同作用为未来带来了巨大希望，有可能彻底改变医疗保健的提供和体验方式。

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来源期刊

Drug metabolism and personalized therapy Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)

CiteScore

2.30

自引率

0.00%

发文量

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.