AI and machine learning in drug development and delivery are revolutionizing the pharmaceutical industry by enhancing both the speed and accuracy of drug discovery and patient treatment. In drug development, AI algorithms analyze vast datasets to identify potential drug targets, predict compound effectiveness, and optimize clinical trial designs. Machine learning models can predict the pharmacokinetics and toxicity of molecules, helping to reduce development costs and time. When applied to drug delivery, AI and machine learning enable the creation of personalized therapies, tailoring drug treatments based on genetic profiles and disease characteristics. These technologies also optimize drug formulations, improving bioavailability and ensuring precise targeting of drugs to specific organs or tissues. AI and Machine Learning in Drug Development and Delivery are driving innovations that streamline the process, reduce risks, and provide more effective, personalized treatments for patients.
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