About STRIDE-Lab

Learn about our research topics.

Our main goal is to improve how therapies move from animal studies to early clinical trials and finally, to regulatory approval in the field of neuroscience. To achieve this, we use methods like systematic reviews and meta-analysis alongside data science techniques, including natural language processing. By identifying the key elements that lead to successful therapy translation, we aim to streamline therapy development. This would not only benefit welfare of experimental animals but also deliver better treatments to patients more efficiently.

Research Areas

Data Science

Our lab utilizes advanced data science techniques, including natural language processing (NLP), to automate evidence synthesis.

Evidence Synthesis

Our laboratory aims to champion evidence-based research in neuroscience.

Neuroimaging

Our research is focused on developing advanced MRI techniques that provide a non-invasive look into pathological tissue processes.

Translational Research

Our ambition is to identify key factors that ensure successful translation from animal studies to early clinical trials, and finally to market approval.