Artificial Intelligence for Drug Product Lifecycle Applications
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portes grátis
Artificial Intelligence for Drug Product Lifecycle Applications
Pais, Alberto; Vitorino, Carla; Cova, Tania; Nunes, Sandra
Elsevier Science & Technology
09/2024
298
Mole
9780323918190
15 a 20 dias
Descrição não disponível.
1. Artificial Intelligence: the foundation principles 2. Artificial Intelligence: A regulatory perspective 3. Automating Drug Discovery 4. Pharmacometrics and machine learning in drug development 5. Multi-omics/genomics in predictive and personalized medicine 6. AI and machine learning in pharmaceutical formulation and manufacturing 7.Process analytics for the manufacturing of nanomedicines: challenges and opportunities 8. The role of artificial intelligence and machine learning in clinical trials 9. AI in Healthcare
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence; Chemometrics; Classification; Clinical competence; Clinical trials; Clustering; Computer-intensive statistical methods; Data accuracy; Digital twins; Drug design; Drug discovery; Drug repurposing; Drugs manufacturing; European medicines agency; Field of application; Food and drug administration; Formulation; Generative artificial intelligence; Genomics; Graph-based models; Health information interoperability; Healthcare; Machine learning; Medical education; Medical ethics; Model-informed drug development; Multi-omics; Nanomedicine; Nanomedicines; Neural networks; Nonlinear mixed-effects models; Outcome assessment; Patient care management; Personalized medicine; Pharmaceuticals; Pharmacometrics; Precision medicine; Predictive diagnostics; Predictive toxicology; Process analytics; Quality control; Regression; Regulatory
1. Artificial Intelligence: the foundation principles 2. Artificial Intelligence: A regulatory perspective 3. Automating Drug Discovery 4. Pharmacometrics and machine learning in drug development 5. Multi-omics/genomics in predictive and personalized medicine 6. AI and machine learning in pharmaceutical formulation and manufacturing 7.Process analytics for the manufacturing of nanomedicines: challenges and opportunities 8. The role of artificial intelligence and machine learning in clinical trials 9. AI in Healthcare
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence; Chemometrics; Classification; Clinical competence; Clinical trials; Clustering; Computer-intensive statistical methods; Data accuracy; Digital twins; Drug design; Drug discovery; Drug repurposing; Drugs manufacturing; European medicines agency; Field of application; Food and drug administration; Formulation; Generative artificial intelligence; Genomics; Graph-based models; Health information interoperability; Healthcare; Machine learning; Medical education; Medical ethics; Model-informed drug development; Multi-omics; Nanomedicine; Nanomedicines; Neural networks; Nonlinear mixed-effects models; Outcome assessment; Patient care management; Personalized medicine; Pharmaceuticals; Pharmacometrics; Precision medicine; Predictive diagnostics; Predictive toxicology; Process analytics; Quality control; Regression; Regulatory
