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Drug Discovery

Drug discovery and development is often characterized by lengthy timelines, high costs and inherent risks. To gain a competitive edge, researchers must shift their reliance from laboratory experimentation to computational simulation and modeling, enabling thorough exploration of all scenarios and validation of hypotheses. Furthermore, efficient handling and interpretation of vast datasets from diverse sources — including clinical studies, next-generation sequencing and different modalities of imaging, is paramount.