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The growing emphasis on reducing the turnaround time in drug discovery will boost the market progress. AI-powered platforms and algorithms streamline the process of analysing vast amounts of genomic data, enabling researchers to identify potential drug targets more efficiently. This analysis will escalate the early stages of drug discovery, thereby saving valuable time and resources. Additionally, AI-driven predictive models and virtual screening techniques aid in identifying and prioritizing potential drug candidates, thus further reduce the time required for experimental testing. Therefore, integration of AI in genomics will boost both the speed of drug discovery and the accuracy and success rate of identifying promising therapeutic options.