EDCTP Webinar | 30 Nov | Providing tools and guidance for conducting clinical research
by Helena WilcoxEpidemic curves are an important component of the public health and global health toolbox. Learn more about creating and interpretting them.
Become a Cochrane citizen scientist. Anyone can join their collaborative volunteer effort.
Around half of the clinical trials done on medicines we use today are not published; a tragic truth that needs to be changed.
Building on the concept of rapid learning health systems, Dr. Peek’s seminar focuses on the use of health information technology to address epidemiological and public health questions and to accelerate the translation of research findings to clinical practice.
Healthcare associated infections (HAI) are of important concern in patient care. This talk discusses Visual Analytics techniques which have been developed to help detect, monitor, analyse and understand trends, clusters and outbreaks of HAI.
Anders Björkman is Professor of Infectious Disease at the Karolinska Institute. In this video, Anders talks about how the efficacy of antimalarials is a major obstacle in the path towards full malaria elimination.
Professor Mike English explains how KEMRI-Wellcome are ''working with government to generate patient level data from a network of Kenyan hospitals as a platform for research'.
Electronic Source Data in Clinical Investigations by FDA
by Yves ClaeysThis is a nice guidance document on principles in electronic data capture from Industry perspective (FDA)
Transnational Working Group on Data management of the ECRIN, the European Clinical Research Infrastructures Network, present recommendations for quality and harmonisation for data management. In addition good data management practices in general are identified.
Clinical Data Management: Current status, challenges and future directions from industry perspectives.
by Harry van LoenCould an Open-Source Clinical Trial Data-Management System Be What We Have All Been Looking For?
by The Editorial TeamThis publication discsusses whether or not open-source clinical trial data management will improve the likelihood that good clinical trials are conducted in resource-constrained settings.