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AI and Machine Learning in Drug Development and Delivery

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.

Committee Members
Speaker at Drug Delivery Events - Yong Xiao Wang

Yong Xiao Wang

Albany Medical College, United States
Speaker at Pharmaceutical Conference - Consolato M Sergi

Consolato M Sergi

Universities of Alberta and Ottawa, Canada
Speaker at Drug Delivery Events - Vladlen Slepak

Vladlen Slepak

University of Miami Miller School of Medicine, United States
Speaker at Drug Delivery Events -  Andreas M Papas

Andreas M Papas

Antares Health Products, United States
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