TriloDocs
Sofia Chalkiadaki is a seasoned professional with extensive experience in software development and data engineering. Currently serving as a Senior Python Developer at TriloDocs, Sofia has previously held positions including Data Engineer II at BenchSci, Data Content Engineer II and Data Content Engineer at Healx, and Senior Analytics Engineer and Analytics Engineer at Accor. Sofia began a career as an R&D scientist at Alphasense Ltd. Academically, Sofia obtained a Master of Research (MRes) in Drug Discovery and Development from Imperial College London and a Bachelor of Science (BSc) in Chemistry from the University of Crete.
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TriloDocs
TriloDocs is an AI tool that generates an initial draft of a Clinical Study Report (CSR). Pulling data from all source documents, the 1st draft report accurately reflects the input material (clinical protocol, statistical analysis plan, and the data tables and figures), leaving the crafting of the messages to the medical writer and the clinical team. The output is a Word file in the Transcelerate template (adaptable on request). Methods are generated from protocol, amendments, and Statistical Analysis Plan. Results are generated from the TLFs creating text and in-text tables for all key parameters. Focus is on highlighting clinically relevant findings – identifying cutoffs and decision points for transparency and clarity. Building on years of knowledge from expert medical writers and combining this with the latest AI technology, we created a tool that is easy to use and incredibly powerful.