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AI Led Automation for Life Sciences

  • 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.