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Case Study: Unlocking the potential of advanced computational methods in drug discovery

Case Study: Unlocking the potential of advanced computational methods in drug discovery

Explore how a pioneering biotech company leveraged a drug combinations prediction tool to identify top-ranking drug combinations, leading to successful phase I trials.

This advanced computational approach, utilizing signatures built for proxy indications and drugs, enabled our client to identify disease targets and relevant vectors through a proprietary target-ID pipeline and customized analyses. This led to confident asset and indication prioritization decisions, which in turn led to better patient outcomes.

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