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Information Intervention in the Pharmaceutical Sciences

Medical Reference Services Quarterly, 2012
Professional guidelines state that higher-order thinking skills are a desirable outcome of pharmacy education. In this context, courses in pharmaceutics at the University of Southern California are taught in a learner-centered manner that requires use of chemical reference sources and interpretation of physicochemical information for drug molecules. To
Amy J, Chatfield   +2 more
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The role of cocrystals in pharmaceutical science

Drug Discovery Today, 2008
Pharmaceutical cocrystals, a subset of a long known but little-studied class of compounds, represent an emerging class of crystal forms in the context of pharmaceutical science. They are attractive to pharmaceutical scientists because they can significantly diversify the number of crystal forms that exist for a particular active pharmaceutical ...
Ning, Shan, Michael J, Zaworotko
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Nanocrystals Technology for Pharmaceutical Science

Current Pharmaceutical Design, 2018
Background: Nanocrystals technology is a promising method for improving the dissolution rate and enhancing the bioavailability of poorly soluble drugs. In recent years, it has been developing rapidly and applied to drug research and engineering. Nanocrystal drugs can be formulated into various dosage forms. Objective: This review mainly focused on
Zhongyao, Cheng   +7 more
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Shaping the Transformation of Pharmaceutical Science

Pharmaceutical Research, 2008
This final issue of Pharmaceutical Research in 2008 is dedicated to the celebration of the journal’s 25th anniversary. This particular issue is a collage of (a) selected invited papers for the symposium entitled, “25th Anniversary of Pharmaceutical Research: Impact on Drug Development and Roadmap to Future Innovations” at the AAPS meeting in Atlanta ...
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In silico toxicology for the pharmaceutical sciences☆

Toxicology and Applied Pharmacology, 2009
The applied use of in silico technologies (a.k.a. computational toxicology, in silico toxicology, computer-assisted tox, e-tox, i-drug discovery, predictive ADME, etc.) for predicting preclinical toxicological endpoints, clinical adverse effects, and metabolism of pharmaceutical substances has become of high interest to the scientific community and the
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