Suppr超能文献

人工智能对从实验室到临床的药物发现与开发的影响

Artificial Intelligence's Impact on Drug Discovery and Development From Bench to Bedside.

作者信息

Vidhya K S, Sultana Ayesha, M Naveen Kumar, Rangareddy Harish

机构信息

Bioinformatics, University of Visvesvaraya College of Engineering, Bangalore, IND.

Pathology, St. George's University School of Medicine, St. George's, GRD.

出版信息

Cureus. 2023 Oct 22;15(10):e47486. doi: 10.7759/cureus.47486. eCollection 2023 Oct.

Abstract

Artificial intelligence (AI) techniques have the potential to revolutionize drug release modeling, optimize therapy for personalized medicine, and minimize side effects. By applying AI algorithms, researchers can predict drug release profiles, incorporate patient-specific factors, and optimize dosage regimens to achieve tailored and effective therapies. This AI-based approach has the potential to improve treatment outcomes, enhance patient satisfaction, and advance the field of pharmaceutical sciences. International collaborations and professional organizations play vital roles in establishing guidelines and best practices for data collection and sharing. Open data initiatives can enhance transparency and scientific progress, facilitating algorithm validation.

摘要

人工智能(AI)技术有潜力彻底改变药物释放建模,优化个性化医疗的治疗方案,并将副作用降至最低。通过应用人工智能算法,研究人员可以预测药物释放曲线,纳入患者特定因素,并优化给药方案,以实现定制化且有效的治疗。这种基于人工智能的方法有潜力改善治疗效果,提高患者满意度,并推动制药科学领域的发展。国际合作和专业组织在建立数据收集和共享的指导方针及最佳实践方面发挥着至关重要的作用。开放数据倡议可以提高透明度和科学进展,促进算法验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81be/10597591/4c28b04110dc/cureus-0015-00000047486-i01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验