Medical papers' verbiage makes them difficult to digest quickly. In fact, according to a recent study, they've become demonstrably more difficult to read over the past century thanks to a rise in science-specific jargon; the authors concluded that about one-fifth of texts were "beyond the grasp" even of people who studied English for 17 years. That's why Maciej Szpakowski, a graduate in acoustical engineering and computer science from the University of Southampton, founded Researchably (previously FuseMind), a startup that employs artificial intelligence (AI) -- specifically natural language processing -- to parse and extract from research papers key bits of information. It's focused squarely on the domain of life science, and was selected this year by the University of California Berkeley's SkyDeck accelerator. Researchably's solution is designed for pharmaceutical companies, Szpakowski explained, whose researchers spend countless hours (as many as 1,500 annually) analyzing and reviewing scientific journal articles.