Lokavant unveils AI solution for clinical trial optimization at DIA

Spectrum supports study teams by providing real-time predictions and control over trial timelines and costs, ensuring successful trials in today’s complex landscape.

Clinical trials today are more intricate than ever. Late-phase studies now collect over 3.5 million data points, triple the amount from a decade ago, and must juggle an average of 26 endpoints, including specific biomarkers. These challenges contribute to longer trial timelines, with patient recruitment for phase 3 trials averaging 18 months—a 39% increase from 2008 to 2019. Moreover, trials often undergo mid-study protocol amendments, which have risen by 60% since 2015, according to a Tufts Center study.

Spectrum can empower study teams with robust strategic and operational feasibility analysis from the start of a trial and allows for mid-study adjustments. It integrates ongoing financial forecasting, dynamically adjusting budgets in real-time based on actual data rather than assumptions.

AI clinical trial feasibility

One contract research organization (CRO) used Spectrum to swiftly plan a sponsor bid defense, offering multiple scenarios and recommendations that optimized time, cost, and country mix.

Spectrum also leverages causal AI (a form of artificial intelligence designed to identify and understand the cause and effect of relationships across data) to provide real-time recommendations, enabling proactive intervention to keep trials on track. This feature is especially beneficial given current staffing challenges in the industry, offering reliable, data-driven guidance to junior staff.

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