Vidhya K S, Sultana Ayesha, M Naveen Kumar, Rangareddy Harish
Bioinformatics, University of Visvesvaraya College of Engineering, Bangalore, IND.
Pathology, St. George's University School of Medicine, St. George's, GRD.
Cureus. 2023 Oct 22;15(10):e47486. doi: 10.7759/cureus.47486. eCollection 2023 Oct.
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.
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。