Professional Certificate in AI for Metabolic Drug Production
-- ViewingNowThe Professional Certificate in AI for Metabolic Drug Production is a crucial course for professionals seeking to harness the power of artificial intelligence in drug discovery and development. This certificate course addresses the growing industry demand for AI-skilled professionals in the pharmaceutical sector, with a focus on metabolic drugs.
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⢠Unit 1: Introduction to Artificial Intelligence (AI) - Fundamentals of AI, history, and applications with a focus on metabolic drug production.
⢠Unit 2: Machine Learning (ML) in Drug Discovery - ML algorithms, supervised and unsupervised learning, and their application in drug discovery.
⢠Unit 3: Deep Learning (DL) Techniques - Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks.
⢠Unit 4: AI-Driven Metabolic Pathway Analysis - AI tools and techniques for metabolic pathway analysis, modeling, and simulation.
⢠Unit 5: AI-Driven Molecular Dynamics Simulations - AI-enhanced molecular dynamics simulations for drug discovery and development.
⢠Unit 6: Predictive Modeling in Drug Metabolism - Predictive modeling techniques, machine learning, and AI in drug metabolism and pharmacokinetics.
⢠Unit 7: Big Data Analytics in Metabolic Drug Production - Big data management, AI-driven data analytics, and visualization techniques in metabolic drug production.
⢠Unit 8: AI-Driven Optimization of Drug Formulations - AI-driven optimization techniques for drug formulation and delivery.
⢠Unit 9: Ethical and Legal Considerations in AI-Driven Drug Discovery - Ethical considerations, regulatory compliance, and data privacy in AI-driven drug discovery.
⢠Unit 10: Future Trends in AI for Metabolic Drug
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