C。解析:文中提到“In the realm of drug development, AI also plays a crucial role. It can accelerate the process by predicting how different molecules will interact with the human body.”,即人工智能在药物研发中的作用是预测分子与人体的相互作用,A选项使药物更昂贵、B选项减慢研发进程、D选项只在动...
Artificial Intelligence (AI) is an exciting, growing field. Due to the high and growing number of data, the comprehensive evaluation of information behind data makes AI tools indispensable. In Drug Discovery and Development the application of AI has become important to accelerate progress and ...
Additionally, AI is being used in health care in a multitude of ways, including diagnosis and treatment (ie, clinical decision support and symptom analyzer), computer vision (ie, radiologic image analysis of electrocardiogram [ECG] and electroencephalogram), workflows (ie, patient...
In the ever-evolving landscape of pharmaceutical research and development, a revolutionary force is reshaping the way we approach drug discovery and repurposing. This force is none other than Artificial Intelligence (AI) and Machine Learning (ML). As we stand on the cusp of a n...
The important role of AI in COVID-19 has been acknowledged by the WHO, creating a new technology access pool for the pandemic (The Pharma Letter, 2020). 3. Artificial intelligence in drug discovery The most important application of AI in combating the SARS-CoV-2 virus is the development ...
In recent years, the field of medicinal chemistry has witnessed a revolutionary transformation with the integration of Artificial Intelligence (AI) techniques into drug discovery processes. This article explores the multifaceted role of AI in revolutionizing drug discovery from a medicinal chemistry perspect...
The role of AI in drug discovery: Challenges, opportunities, and strategies. Pharmaceuticals. 2023;16(6):891. https://doi.org/10.3390/ph16060891. Article Google Scholar Tran TTV, Surya Wibowo A, Tayara H, Chong KT. Artificial Intelligence in Drug Toxicity Prediction: recent advances, ...
populations. It shows how a drug performs across different demographic groups, disease stages, and comorbidities—something that is often missed in the controlled confines of randomized controlled trials. Tech and AI have the potential to boost this rapidly growing area of drug research and discovery...
AI-enabled digital therapeutics have helped give new meaning to the term personalized medicine by tailoring not just the treatment itself, but the way that treatment is managed to the individual characteristics of each patient.
On the clinical-development front, we’re maximizing the use of AI and automation in research and transforming our clinical studies to reduce cycle times and widen access. For example, all our studies now have at least one digital interaction; in some cases, participants don...