03636nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001600186072002300202072001500225245024000240250001800480264007200498300005400570336002600624337002600650338003600676347002400712505058800736520111401324650002502438650003002463650003702493650002502530650004602555650002602601700008702627700008502714700008402799710003402883773002602917776003602943776003602979776003603015856004603051912001403097912001403111999001703125978-981-99-7858-8DE-He21320251030112917.0cr nn 008mamaa240828s2024    si |    s    |||| 0|eng d  a97898199785889978-981-99-7858-87 a10.1007/978-981-99-7858-82doi 4aRM300-666 7aMMG2bicssc 7aMED0710002bisacsh 7aMKG2thema10aPharmacokinetics and Pharmacodynamics of Novel Drug Delivery Systems: From Basic Concepts to Applicationsh[electronic resource] :bA Machine-Generated Literature Overview /cedited by Sankalp A. Gharat, Munira M. Momin, Tabassum Khan.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIII, 393 p. 7 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 1_ Introduction to Pharmacokinetics and Pharmacodynamic studies of Novel Drug Delivery Systems -- Chapter 2_ Absorption, Distribution, Metabolism and Excretion of Nanoparticles -- Chapter 3_ Pharmacokinetic, Pharmacodynamic, Preclinical and Clinical models for evaluation of nanoparticles -- Chapter 4_ Pharmacokinetics of nanocarriers and novel drug delivery systems -- Chapter 5_ Clinical applications of Pharmacokinetic and Pharmacodynamic studies of nanoparticles -- Chapter 6_ Artificial Intelligence and Machine learning in Pharmacokinetics and Pharmacodynamic Studies.  aThe book delves into the intricate realm of pharmacokinetics and pharmacodynamics as they apply to modern advancements in drug delivery systems. It offers a comprehensive exploration of novel drug delivery methods, with a particular focus on nanoparticles and nanocarriers. The absorption, distribution, metabolism, and excretion processes of nanoparticles are extensively examined. It also covers various evaluation models, spanning from preclinical to clinical, aimed at assessing the effectiveness and safety of nanoparticles in drug delivery. It also covers the integration of Artificial Intelligence and Machine Learning in pharmacokinetics and pharmacodynamics, showcasing how these cutting-edge approaches can enhance our understanding of drug behavior and optimize therapeutic outcomes. It serves as a comprehensive guide, highlighting the fusion of traditional pharmacological concepts with contemporary drug delivery systems and innovative technologies, all in the pursuit of refining medical treatments and patient care and is a valuable resource for academicians, researchers, and pharmacologists. 0aPharmacology.967844 0aPharmacovigilance.974275 0aPharmaceutical chemistry.96784314aPharmacology.96784424aDrug Safety and Pharmacovigilance.97427624aPharmaceutics.9678461 aGharat, Sankalp A.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9830931 aMomin, Munira M.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9830941 aKhan, Tabassum.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9830952 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981997857108iPrinted edition:z978981997859508iPrinted edition:z978981997860140uhttps://doi.org/10.1007/978-981-99-7858-8  aZDB-2-SBL  aZDB-2-SXB  c62819d62819