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Transforming pharma R&D with a scientist-centric approach to AI & automation

pharmaphorum

The first challenge is technical: how can the physical activities of a scientist be accurately captured in a digital format that can then be fed into the existing ecosystem of software and automation equipment to remove manual challenges of designing, executing, and analysing experiments? Translating physical into digital.

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Rethinking the pharma R&D lifecycle with AI in mind

Drug Discovery World

The inequality between near-zero-cost AI-driven drug discovery and skyrocketing costs for clinical trials and regulatory approval will create a bottleneck, stalling promising drugs from reaching patients unless AI is equally applied across the entire R&D lifecycle. Singhal is the company’s president; Wickramasekara its CEO.