Mumtaz Hassan, Saqib Muhammad, Jabeen Sidra, Muneeb Muhammad, Mughal Wajiha, Sohail Hassan, Safdar Myra, Mehmood Qasim, Khan Muhammad Ahsan, Ismail Syed Muhammad
Maroof International Hospital, Islamabad, Pakistan.
Khyber Medical College, Peshawar, Pakistan.
Front Med (Lausanne). 2023 Oct 2;10:1227168. doi: 10.3389/fmed.2023.1227168. eCollection 2023.
The core idea behind precision medicine is to pinpoint the subpopulations that differ from one another in terms of disease risk, drug responsiveness, and treatment outcomes due to differences in biology and other traits. Biomarkers are found through genomic sequencing. Multi-dimensional clinical and biological data are created using these biomarkers. Better analytic methods are needed for these multidimensional data, which can be accomplished by using artificial intelligence (AI). An updated review of 80 latest original publications is presented on four main fronts-preventive medicine, medication development, treatment outcomes, and diagnostic medicine-All these studies effectively illustrated the significance of AI in precision medicine. Artificial intelligence (AI) has revolutionized precision medicine by swiftly analyzing vast amounts of data to provide tailored treatments and predictive diagnostics. Through machine learning algorithms and high-resolution imaging, AI assists in precise diagnoses and early disease detection. AI's ability to decode complex biological factors aids in identifying novel therapeutic targets, allowing personalized interventions and optimizing treatment outcomes. Furthermore, AI accelerates drug discovery by navigating chemical structures and predicting drug-target interactions, expediting the development of life-saving medications. With its unrivaled capacity to comprehend and interpret data, AI stands as an invaluable tool in the pursuit of enhanced patient care and improved health outcomes. It's evident that AI can open a new horizon for precision medicine by translating complex data into actionable information. To get better results in this regard and to fully exploit the great potential of AI, further research is required on this pressing subject.
精准医学背后的核心思想是确定那些由于生物学和其他特征的差异而在疾病风险、药物反应性和治疗结果方面彼此不同的亚群。生物标志物是通过基因组测序发现的。利用这些生物标志物创建多维临床和生物学数据。对于这些多维数据需要更好的分析方法，这可以通过使用人工智能（AI）来实现。本文针对预防医学、药物研发、治疗结果和诊断医学这四个主要方面，对80篇最新的原始出版物进行了更新综述——所有这些研究都有效地说明了人工智能在精准医学中的重要性。人工智能（AI）通过快速分析大量数据以提供量身定制的治疗方法和预测性诊断，彻底改变了精准医学。通过机器学习算法和高分辨率成像，人工智能有助于进行精确诊断和早期疾病检测。人工智能解码复杂生物因素的能力有助于识别新的治疗靶点，从而实现个性化干预并优化治疗结果。此外，人工智能通过研究化学结构和预测药物与靶点的相互作用来加速药物发现，加快救命药物的研发。凭借其无与伦比的理解和解释数据的能力，人工智能在追求提高患者护理水平和改善健康结果方面是一种非常宝贵的工具。显然，人工智能可以通过将复杂数据转化为可操作的信息，为精准医学开辟新的前景。为了在这方面取得更好的成果并充分发挥人工智能的巨大潜力，需要对这个紧迫的课题进行进一步研究。
