Pharmaco-Complexity Non-Linear Phenomena and Drug Product Development /

The historical approach to the interpretation of physical, chemical and biological phenomena has been to consider relationships with causative factors that can be reduced to linearity allowing simple and direct interpretation. However, it is increasingly evident that there is often more information...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hickey, Anthony J. (Συγγραφέας), Smyth, Hugh D.C (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2011.
Έκδοση:1.
Σειρά:Outlines in Pharmaceutical Sciences, 1
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02995nam a22005055i 4500
001 978-1-4419-7856-1
003 DE-He213
005 20151030031106.0
007 cr nn 008mamaa
008 101216s2011 xxu| s |||| 0|eng d
020 |a 9781441978561  |9 978-1-4419-7856-1 
024 7 |a 10.1007/978-1-4419-7856-1  |2 doi 
040 |d GrThAP 
050 4 |a RM1-950 
072 7 |a MMG  |2 bicssc 
072 7 |a MED071000  |2 bisacsh 
082 0 4 |a 615  |2 23 
100 1 |a Hickey, Anthony J.  |e author. 
245 1 0 |a Pharmaco-Complexity  |h [electronic resource] :  |b Non-Linear Phenomena and Drug Product Development /  |c by Anthony J. Hickey, Hugh D.C. Smyth. 
250 |a 1. 
264 1 |a Boston, MA :  |b Springer US :  |b Imprint: Springer,  |c 2011. 
300 |a VIII, 71 p. 9 illus., 2 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Outlines in Pharmaceutical Sciences,  |x 2191-3188 ;  |v 1 
505 0 |a The nature of complexity and relevance to the pharmaceutical sciences -- Phenomena in Physical and Surface Chemistry -- Solid State Pharmaceuticals: Solving Complex Problems in Preformulation and Formulation -- Considerations in monitoring and controlling pharmaceutical manufacturing -- Pharmacokinetics and pharmacodynamics -- Impact of complexity on population Biology -- Conclusion.      . 
520 |a The historical approach to the interpretation of physical, chemical and biological phenomena has been to consider relationships with causative factors that can be reduced to linearity allowing simple and direct interpretation. However, it is increasingly evident that there is often more information in the data than linear interpretations allow. The current capacity for computers to assist in identifying non-linear relationships allows greater interpretation of data which illuminates the phenomena allowing the information to be translated into knowledge that can be used wisely to promote various desirable pharmaceutical outcomes. This short volume is intended to stimulate the reader to contemplate research and development areas in which the data might be more accurately interpreted to allow greater understanding and ultimately control of the pharmaceutically complex phenomena. 
650 0 |a Medicine. 
650 0 |a Pharmacology. 
650 0 |a Biotechnology. 
650 0 |a Biochemistry. 
650 1 4 |a Biomedicine. 
650 2 4 |a Pharmacology/Toxicology. 
650 2 4 |a Biotechnology. 
650 2 4 |a Biochemistry, general. 
700 1 |a Smyth, Hugh D.C.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781441978554 
830 0 |a Outlines in Pharmaceutical Sciences,  |x 2191-3188 ;  |v 1 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4419-7856-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)