Results 181 to 190 of about 27,596 (292)
Demand-Side Management for a Decentralised and Equitable Energy Transition in Aotearoa New Zealand. [PDF]
Kamana-Williams B +3 more
europepmc +1 more source
Abstract Aim The aim of this study was to assess the general and product‐specific experiences of MAHs use of RWD/RWE in medicines development and in their regulatory submissions, and to explore organizational aspects of MAHs related to RWD/RWE. Methods An electronic survey was conducted, and information collected directly from MAHs.
Sini M. Eskola +5 more
wiley +1 more source
Participant satisfaction across three trial arms with varying degrees of decentralisation in the RADIAL proof-of-concept trial. [PDF]
Kopanz J +6 more
europepmc +1 more source
Regulatory harmonization: Evolution, globalization and future directions
Regulatory harmonization has become an increasingly important and accepted approach to streamline regulatory review processes and expedite access to safe, effective and high‐quality medicines globally. This review explores the evolution and current status of regulatory harmonization, convergence and reliance initiatives.
Orin Chisholm +2 more
wiley +1 more source
Decentralising drug-resistant TB treatment initiation services. [PDF]
Murphy-Okpala N +15 more
europepmc +1 more source
Aims Information on the safety profile of antidiabetic medications is essential for informed treatment decisions in type 2 diabetes mellitus. Although this information is available in regulatory documents of individual drugs, a comprehensive overview across all approved antidiabetics is lacking.
David Liang +5 more
wiley +1 more source
How do communication, trust and professional relationships shape decentralised clinical trials? A qualitative interview study of international stakeholders. [PDF]
Coyle J +3 more
europepmc +1 more source
Abstract This paper analyses differences in academic achievement associated with attendance at publicly funded private schools and public schools across 11 European countries. Using eight waves of PISA data (2000–2022), we apply OLS, IPW and IPWRA estimators to account for observed heterogeneity and mitigate selection bias.
Priya Maurya +2 more
wiley +1 more source

