Helix conducts research as you write

Researchers often need to go beyond Google to find the kind of medical journal articles and flat data files necessary for their work. But many journal articles are locked away in databases like JSTOR or PubMed, which don't have the reliable search capabilities of an engine like Google -- so researchers have to waste time tracking them down. Enter Helix, a word processor plug-in created at this year's Disrupt NY Hackathon by Paul Burke and Neil Krishnan. Helix uses machine learning to suggest citations and relevant research as you write. Helix scans a writer's text as he or she types and automatically pulls in recommendations for relevant journal articles, news and Wikipedia pages.