For quicker and more effective medicine delivery, it is essential to efficiently collect and utilize data throughout the pharmaceutical process, from research to commercialization. However, a lot of businesses face challenges due to fragmented legacy systems and a lack of human analysis. These data-driven challenges in drug development can be addressed by next-generation agentic AI in Life Sciences.
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