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Predicting Solubility of New Drugs
ISBN/GTIN

Predicting Solubility of New Drugs

Handbook of Critically Curated Data for Pharmaceutical Research
BuchGebunden
Verkaufsrang148inMedizin
CHF377.50

Beschreibung

The correct amount of solubility is a key part in the search for new drugs to tackle diseases. This handbook provides data analysis of published solubility measurements of FDA recently-approved drugs methodically searched in recent years. Artificial intelligence and Bayesian statistics will likely be key to this subject area in the future.
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Details

ISBN/GTIN978-1-032-61767-1
ProduktartBuch
EinbandGebunden
Erscheinungsdatum27.05.2024
Auflage1. A.
Seiten1710 Seiten
SpracheEnglisch
MasseBreite 178 mm, Höhe 254 mm, Dicke 94 mm
Gewicht3340 g
IllustrationenFarb., s/w. Abb.
Artikel-Nr.26887746
KatalogBuchzentrum
Datenquelle-Nr.44869822
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Autor

Alex Avdeef has been an American Association of Pharmaceutical Scientists (AAPS) Fellow since 2014, a former visiting senior research fellow at King´s College London, and is the author of Absorption and Drug Development (2nd ed., Wiley, 2012). In 2021, the book was translated into Chinese, by translators affiliated with the China Food and Drug Administration. For nearly 50 years, he has been teaching, researching, and developing methods, instruments, and analysis software for the measurement of ionization constants, solubility, dissolution, and permeability of drugs. His accomplishments in the development of instrumentation include several well-known instruments that are or recently have been manufactured by leading companies in the instrument market, including Thermo Fisher Scientific, Sirius Analytical, and Pion Inc. He has over 200 technical publications in primary scientific journals and book chapters. He has written several comprehensive technical guides and is a coinventor on six patents. He cofounded Sirius Analytical (UK) in 1989, pION Inc. (USA) in 1996, and founded in-ADME Research (New York City) in 2011. His other positions were at Orion Research, Syracuse University, UC Berkeley, and Caltech.