Jain Deepak, Chandra Phool, Ali Zeeshan, Fatma Nishat, Khan Hafsa
Research Scholar, Department of Pharmaceutics, School of Pharmacy- AVIPS, Shobit University, Gangoh, Uttar Pradesh, 247341, India.
Teerthanker Mahaveer College of Pharmacy, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, 244001, India.
Curr Drug Discov Technol. 2024 Sep 5. doi: 10.2174/0115701638313233240830132804.
AI's rise has affected many aspects of civilization. Pharmaceutical businesses have been hit hard. This review paper highlights AI's benefits for disease detection, clinical trials, medicine development, and productivity in the pharmaceutical industry. Pharmaceutical companies have built specialized systems to help doctors diagnose and monitor medication remediation. Pharmaceutical businesses are utilizing AI for machine learning to imitate human analytical processes for more accurate and insightful data. AI has many benefits for the pharmaceutical business. Data analysis can address previously insoluble problems due to improved precision. AI boosts productivity, lowers expenses, and enhances tasks. AI insights enhance understanding of user behavior, market performance, and clinical trial success. AI helps identify patients during clinical trials and improves antiviral detection to ensure efficacy, safety, cost-effectiveness, and seamless pharmaceutical procedures. The pharmaceutical industry emphasizes AI in R&D, drug discovery, diagnostics, sickness prevention, epidemic forecasting, remote access, manufacturing, and marketing. Artificial intelligence has transformed medication development and discovery by analyzing vast datasets, discovering complicated patterns, and forecasting efficacy. Pharmaceutical companies like Novartis, AstraZeneca, and Verge Genomics are utilizing AI for drug feature prediction, neurological evaluation, therapy development, pulmonary and hypertension recognition, low-cost medication production, and disease diagnosis.
人工智能的崛起影响了文明的许多方面。制药企业受到了沉重打击。这篇综述文章强调了人工智能在疾病检测、临床试验、药物研发以及制药行业生产力方面的益处。制药公司建立了专门系统来帮助医生诊断和监测药物治疗。制药企业正在利用人工智能进行机器学习，以模仿人类分析过程来获取更准确且有洞察力的数据。人工智能对制药行业有诸多益处。数据分析因精度提高能够解决以前无法解决的问题。人工智能提高了生产力，降低了成本，并改善了各项任务。人工智能的见解增强了对用户行为、市场表现和临床试验成功的理解。人工智能有助于在临床试验中识别患者，并改进抗病毒检测，以确保疗效、安全性、成本效益以及制药流程的顺畅。制药行业在研发、药物发现、诊断、疾病预防、疫情预测、远程访问、制造和营销等方面都重视人工智能。人工智能通过分析大量数据集、发现复杂模式以及预测疗效，改变了药物研发和发现。诺华、阿斯利康和边缘基因组学等制药公司正在利用人工智能进行药物特征预测、神经评估、治疗开发、肺部和高血压识别、低成本药物生产以及疾病诊断。
