Clinical trials have grown more complex — protocols are longer, patient populations narrower, and global regulations keep evolving, leaving manual reviews and traditional monitoring unable to keep pace. Calance's Clinical Trial Solutions close that gap by...
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Clinical trials have grown more complex — protocols are longer, patient populations narrower, and global regulations keep evolving, leaving manual reviews and traditional monitoring unable to keep pace. Calance's Clinical Trial Solutions close that gap by applying artificial intelligence, predictive analytics, and automation across the clinical development lifecycle, from protocol design to patient recruitment and ongoing regulatory adherence.
Three capabilities anchor the offering. Protocol Complexity Assessment uses NLP and large language models to score operational feasibility, flagging excessive inclusion criteria, visit frequency, and other site burdens before a protocol is finalized. Patient Enrollment Forecasting tracks actual versus target enrollment across sites and predicts underperformance early, so sponsors can reallocate resources before timelines slip. Regulatory Compliance and SOP Gap Analysis compares standard operating procedures against current FDA, EMA, and ICH-GC
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