Digital Transformation in Drug Discovery

The landscape of drug discovery is undergoing a profound transformation, driven by the integration of artificial intelligence, machine learning, and laboratory automation. From predictive modeling and automated screening to data harmonization across platforms, these technologies are not only accelerating timelines but also redefining how researchers approach complex biological challenges.

As the pharmaceutical and biopharma sectors embrace this shift, digital transformation is moving from a competitive advantage to an operational imperative — reshaping workflows, enhancing reproducibility, and opening new avenues for therapeutic innovation. In this feature, we explore how leading scientists and technology providers are harnessing AI and automation to streamline R&D, optimize decision-making, and ultimately bring safer, more effective drugs to patients faster than ever before.

Tecan's Veya
How Tecan’s Veya is bringing effortless automation to multiomics

With intuitive workflows, quick setup, and expert support, Veya is making automation accessible and cost-effective for first-time users

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Linking automation, software, and scientists for the lab of the future

Learn about the Thermo Scientific™ Momentum™ Workflow Scheduling software and how customers are using it to build automation systems which can be applied to research environments to improve throughput and reduce time.

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Rob Brown, Sapio Sciences
Transforming research with AI and unified workflows

Hear from Rob Brown, Head of the Scientific Office at Sapio Sciences, as he shares its mission to support scientific workflows with enhanced AI assistance, enabling more efficient, faster, and smarter scientific research.

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