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AI has seen a rapid rise in the past few years, with many industries leveraging its transformative power. However, the life-sciences industry has yet to fully embrace AI, due to a lack of data science experts, ambiguous business goals and strict regulatory requirements. With the right approach, AI can help life-sciences organizations develop better and more efficient processes, discover new insights and treatments, and improve patient outcomes. Examples of AI innovations in the life-sciences industry include BlueDot, which picked up signs of a new flu around the Wuhan market in China.