computational-journalism
(2)
AppliedXL
AppliedXL is a New York-based event-detection company that builds machine-learning systems - it calls them editorial algorithms - to spot early signals in clinical trials, biotech, and financial data before they become news. Founded in 2020 by former Wall Street Journal computational journalists Francesco Marconi and Erin Riglin out of the Newlab Venture Studio, the company mines public databases like ClinicalTrials.gov to flag trial delays, enrollment shortfalls, and irregular status changes across more than 100 risk categories, feeding real-time intelligence to life-sciences executives and investors. Its work powers STAT Trials Pulse and appears on the Bloomberg Terminal.
Francesco Marconi
Francesco Marconi is a computational journalist turned startup founder who built AppliedXL, a New York company that points the tools of investigative reporting at machine data to detect events before they become news. After serving as the first R&D Chief at The Wall Street Journal and co-leading AI strategy at the Associated Press, he wrote the field-defining book Newsmakers and now applies 'pre-news' event detection to clinical trials and biopharma, surfacing the earliest signals of trial risk for partners including STAT News and the Bloomberg Terminal.