Judith van Luijk

Judith is PhD candidate and trainer at SYRCLE (SYstematic Review Centre for Laboratory animal Experimentation) of the Radboud university medical center in Nijmegen, the Netherlands. SYRCLE aims to improve animal based research trough research, training and conduct in systematic reviews of animal studies.

Her thesis: “Evaluation of strategies to improve scientific quality and responsible use of animals in research” evaluates 3R implementation and the systematic review methodology as strategies to improve animal-based research.

Judith is also one of the main trainers and coaches at SYRCLE. She manages the training and coaching program on systematic reviews of animal studies for researchers at the Radboud university medical center.

Additional tasks involve dissemination activities of the systematic review methodology within the field of laboratory animal sciences, including building sustainable networks and use of social media.

Kim Wewer

Kim Wever is a Dutch biologist, post-doctoral research fellow at SYRCLE and an active member of CAMARADES since 2013. Prior to focussing on preclinical SRs, she was an in vivo researcher using models in humans and animals to develop new treatment strategies against ischemia-reperfusion injury. It was during this time that she became aware of the many challenges, both practical and ethical, faced by preclinical researchers. This motivated her to shift her research focus to understanding and resolving the poor clinical translation of animal studies. She now conducts preclinical SRs and MAs, develops methodology to do so, and provides training and coaching to others.

Alexandra Bannach-Brown

My main research interest is systematic review and meta-analysis of animal models of depression. I am using text-mining and machine learning techniques to help automate the process of systematic reviews, to deal with the increasing amount of literature being published. I’m a joint PhD Candidate at CAMARADES, University of Edinburgh & TNU, Aarhus University. My background is in Psychology and I completed an MSc by Research in Integrative Neuroscience at University of Edinburgh.  

Merel Ritskes-Hoitinga

Merel Ritskes-Hoitinga (DVM, PhD, Dipl. ECLAM) is Professor in Evidence-Based Laboratory Animal Science at the Department for Health Evidence at the Radboud University Medical Center, Nijmegen, The Netherlands. She has founded SYRCLE (www.syrcle.nl) in 2012, focussing on education, coaching and research in the field of systematic reviews of animal studies. Systematic reviews lead to the actual implementation of the 3Rs, a more evidence-based choice of animal models and transparency in quality and translation of animal studies. SYRCLE participates in international networks: CAMARADES, Evidence-Based Toxicology, Evidence-Based Research Network, GRADE and Evidence Synthesis International, and is preparing an application for a Cochrane methods group. From 1997-2005 she was professor in Laboratory Animal Science and Comparative Medicine at the Faculty of Health Sciences, University of Southern Denmark. In 2017 she is visiting professor at the Department for Clinical Medicine at Aarhus University. Full cv www.ritskes-hoitinga.eu

Zsanett Bahor

Zsanett Bahor is a PhD student with the Collaborative Approach to Meta-analysis and Review of Animal Data from Experimental Studies (CAMARADES) team at the University of Edinburgh. Her research background is in neuroscience and her current research focuses on improving our understanding of the in vivo modelling of psychotic disorders and how it informs clinical trials by systematically reviewing the field. She is particularly interested in the development of novel tools that can reduce the time taken to complete such summaries, thus allowing for faster evidence-based decision making. As part of her project, Zsanett has been looking at text mining as a tool to automate part of the review process in order to aid both her work, but also potentially that of other systematic reviewers in the field.

Mads Rydahll

Mads Rydahl is cofounder of UNSILO, a Danish startup building semantic discovery tools for science. UNSILO works with leading Scientific Publishers to enrich their content and improve discoverability across domains and disciplines. UNSILO's discovery tools capture trending ideas and novel concepts as they emerge, and they help researchers find articles that describe parallel research of similar ideas across different domains and disciplines.

Mads has managed software development teams for over 20 years. He has built games for Lego Mindstorms, interfaces for Bang & Olufsen, search experiences for Stanford University, and was Director of Product and Design at SIRI, the DARPA funded voice assistant acquired by Apple in 2010.

Emily S Sena

Emily S Sena, PhD Research Fellow, Centre for Clinical Brain Sciences, University of Edinburgh Convener, CAMARADES.

Emily has a background in neuroscience and is a research fellow specialised in the validity of preclinical studies. Her research interests are in the use of systematic review and meta-analysis of preclinical efficacy studies to increase the understanding of critical facets of translational medicine and developing new hypotheses for testing in the laboratory. Since 2015 she has led the Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies (CAMARADES), a multicentre international research collaboration facilitating the pooling and analysis of data from a range of disease models across the basic sciences. To support this she has developed an internationally accessible database, similar to the Cochrane library, to facilitate interpretation of the preclinical data used to justify progression to clinical trial. Her research has informed laboratory practice guidelines, editorial policy and the design of clinical trial protocols.

Sarah McCann

Sarah McCann is a Marie Skłodowska-Curie Research Fellow with CAMARADES at the Centre for Clinical Brain Sciences, University of Edinburgh. During her doctoral training at the University of Melbourne, Australia, she investigated the regulation of oxidative stress in animal models of stroke. Subsequently, her research has centred on analysis of preclinical studies to help understand and resolve the translational failure between animal experiments and clinical trials. Her current research interests are developing analysis methods to more reliably inform selection of drugs for advancement, identifying aspects of experimental design that contribute to biased outcomes, and reducing research waste.