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Machine Learning: An Essential Skill for Pharmacovigilance Professionals

Impact and Advantage of Machine Learning for Pharmacovigilance Professionals

  • The advent of artificial intelligence has transformed the Life Sciences industry and revolutionized operations in the pharmacovigilance space.

  • There has been widespread adoption of artificial intelligence and machine learning in life sciences across the entire pharmacovigilance value chain to improve drug safety science.

  • The move will enhance decision-making process in the industry and help achieve better patient outcomes. As such, a pharmacovigilance professional will now need to learn machine learning in life sciences and wear the hat of a Learning Champion – someone who can be a pharmacovigilance expert, a business analyst, and a data scientist – in order to tutor machines.

  • A Learning Champion must unlearn a few skills before imbibing machine-oriented ones because they need to interact with static platforms in their role of a pharmacovigilance professional.

  • In order to increase machine’s overall efficiency, the Learning Champion needs to understand the AI system’s functional design.

  • Human Intelligence when correlated to artificial intelligence helps the Learning Champion to map human learning for a machine’s use and accelerate the learning process.

Ashish Indani

Head, Research & Innovation, TCS ADD Life Sciences Platform

Aparna Patkar

Delivery Head and Sr. Domain Consultant, TCS Life Sciences

Devraj Goulikar

Head of Safety Solutions, TCS ADD Life Sciences Platform

Divya Vasudevan

Business Analyst & QA Lead, TCS ADD Safety

Alejandra Guerchicoff

Industry Advisor, TCS Life Sciences and Healthcare

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