Our Application uses Deep Neural Network technology to automatically classify specific guidance and style preferences into correct document types. By ways of supervised learning, artificial neurons are being trained on huge sample datasets. Training data contains, on one hand, a taxonomy of expected document types and, on the other hand, thousands of style guides corresponding to the given document types.
The team possesses strong analytical and interpretation skills, comes with a thorough knowledge of experimental design and biostatistics, demonstrates good exposure to standard editorial/ style conventions, and is highly proficient in computer word processing programs. Writers who lead and manage the teams are hand-picked and remain hands-on considering the domain-intensive nature of the job.
Unique combination of state-of-the-art machine learning techniques and functional discursive linguistics to scientific writing.
Receive in-depth guidance and feedback for each section, paragraph, and sentence
Built by a multidisciplinary team of experienced scientific editors, linguists, and programmers keen to improve and modernize scientific communication
Established a robust collaboration network with experienced entrepreneurs, linguists, and researchers in education, AI, NLP, and deep learning.
Regulatory writing for individual studies
Regulatory writing across studies
Aggregate safety reports (study or program level)
Resubmissions and responses to reviewers
Medical editing & Publications
Specialized services
Improved writing quality for the entire manuscript (section by section)
Writing directed towards the selected journal’s focus and style
Recommendations during review to reduce the timeframe
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