The field of drug development has witnessed a significant transformation with the integration of artificial intelligence (AI). AI-based tools are now being used to design and simulate pharmacokinetic-pharmacodynamic models, allowing researchers to better understand how medications interact with the human body. Open Systems Pharmacology (OSP) is one such tool that enables users to model and predict the behavior of medications in the human body, making it easier to develop new treatments. With AI-based pharmacokinetic tools, researchers can quickly and accurately estimate ADMET properties, drug-drug interactions, and blood-brain barrier penetration, reducing the time and cost associated with drug development while improving safety and efficacy. As the use of these tools continues to grow, we can expect even more innovative applications in the future, leading to breakthroughs in complex diseases such as cancer and Alzheimer's disease.
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