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LEARN MOREAs companies realize the potential of Artificial Intelligence (AI) and Machine Learning (ML), applications in healthcare are expected to grow to nearly $8 billion by 2022. The biopharmaceutical industry is increasingly recognizing AI/ML’s potential to both improve decision making across R&D and commercialization, and to drive better outcomes for patients, physicians, and payers.
However, observers have yet to see meaningful and sustained realization of value from AI/ML in the biopharma industry. Further, most internal biopharma AI/ML initiatives remain fragmented and often separate from the main business.
In this white paper, IQVIA’s Data Science experts explore the reasons why AI/ML has had limited success in the biopharmaceutical industry to date, and contrast that examination with case studies spotlighting enterprises that successfully improved patient outcomes and streamlined internal operations through the use of AI/ML.
Download this white paper to discover how your biopharma organization can succeed in today’s increasingly complex and competitive environment by adopting AI/ML applications to enable:Decrease clinical development costs and increase study quality using our global functional resources and flexible services, and get more value from your R&D spend.
Explore our end-to-end, full service clinical development capabilities including Therapeutics expertise, Development Planning, Phase I early clinical development, Phase IIb/III and Phase IV Trials, Regulatory Submission and Post-Launch Studies.
