Within clinical development, complementing human experience and insight with machine computational power promises to transform decision-making processes. At its core, collaborative intelligence creates strategic partnerships between people and AI- and ML-based systems to tackle persistent challenges in drug development that for years have thwarted progress. Issues such as study initiation, patient recruitment and the imperative to increase diversity, equity and inclusion representation are being reevaluated through the lens of this innovative approach.
Collaborative intelligence is more than a technological novelty. It marks a profound shift by infusing human perspective with AI- and ML-based insights. New avenues to address longstanding obstacles are opening.
In this white paper, we explore five key components to launch and sustain successful collaborative intelligence initiatives:
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