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AI Led Automation for Life Sciences

Overview

Complex drug discovery and computational modeling powered by AI, can help gain early insights into the working of drugs that improve hit rates and downstream development effort.

AI Journey: Transformation of Operations towards Software + People Model

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Infosys Nia, the next generation purposeful AI platform, collects and aggregates data from people, processes and legacy systems into a self-learning knowledge base and automates repetitive business and IT processes. This enables businesses to use information without human intervention.

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Challenges & Solutions

  • Self-service of key decision support required, through planning and conduct of clinical trial.
  • Data integration of in-flight and past trials to build learning capabilities and predictive modelling.

Integrated AI based auto-generation, collaborative review, automated quality review, and associated workflow/task management.

  • Cognitive “disease-based assistants” to improve adherence, education and emergency management.
  • IOT-based real-time data capture to improve patient monitoring and engagement

  • Automate case capture (suspected) and qualification from secondary sources - social media, patient communities, EMR and claims datasets etc.

Resource Center

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The Healthcare Industry Is In A State Of Digital Well-being

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Digital in Life Sciences: Are You Future-Ready? Capturing a Paradigm Shift in the Life Sciences Industry

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AI-Driven Automation in Life Sciences

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