AI in Drug Discovery Accelerates Breakthroughs

Seamless integration of artificial intelligence into your R&D workflow speeds drug discovery

Augmenting Revvity Signals’ solutions with artificial intelligence for drug discovery puts new power into researchers’ hands – from copilots and summarization assistants to workflow-specific natural language processing and predictive analytics, all while staying securely within the Revvity Signals platform. Work smarter and make informed decisions with AI.

Harness AI to accelerate drug discovery

Artificial intelligence can supercharge drug discovery workflows

AI drug discovery tools are changing R&D by making workflows faster, smarter, and more scalable. Revvity Signals brings artificial intelligence directly into the tools you already use, from design to decision.

See how purpose-built AI enhances scientific insight throughout the R&D discovery lifecycle.

Make data AI-ready to unlock drug discovery acceleration

Streamline workflows with generative AI and semantic search

Enhance decision-making with AI-augmented chemical reaction recommendations and predictive antibody developability

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Design

Predictive and generative AI can help you focus on opportunities

Generative AI is not just for human language—artificial intelligence for drug discovery is speaking the language of chemical synthesis and biomolecule affinity.

Natural language processing and semantic search can help make sense of the volume of scientific literature
Generative AI can be trained to propose novel small molecules that meet specific design criteria during the hit-to-lead and lead optimization phases
Predictive analysis of antibody developability can streamline the potential candidate pool to create an effective biomolecule

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Shorten the path from design to candidate

When you have a design ready, drug discovery AI can help identify the optimal synthesis routes to get from starting materials to candidate.

Leverage AI-designed synthesis workflow and reaction condition recommendations
Identify synthesis paths aligned with green chemistry practices or desired workflows
Report the synthesis path and results quickly with a built-in summarization assistant

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Automated analysis with AI to streamline molecular characterization

From small molecules to biotherapeutics, characterizing binding, activity, and in vitro cell assays takes a lot of data and even more diligence. Drug discovery AI can increase the speed and reproducibility of analysis for even the most complex analysis workflows.

Automated analysis to reduce variability between samples and experiment
AI-powered insights for brightfield imaging
Gather more biologically relevant data with high-content cell phenotyping

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Integrate AI-ready data to make decisions with confidence

Drug discovery AI can rapidly integrate many sources and types of data, like a team of digital assistants to empower researchers with:

Visualization dashboards to provide an overview of the asset pipeline
AI-based analytics to reveal patterns across multiple variables and drive more insightful research
Generative AI-powered summaries to rapidly document decisions and the supporting data

Data collected is used to retrain and enhance the AI, helping it work better with your team in the next design-make-test-decide cycle to drive continuous improvements in insights and efficiency.

Artificial Intelligence and Signals

Revvity Signals’ human-first approach to AI brings efficiencies to scientific discovery, unlocks insights, and accelerates innovation.

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Resources

Revvity Signals is leveraging AI to empower scientist's. Learn more about how Scientists are gaining new efficiencies, unlocking insights and accelerating innovation with the transformative power of AI. Empowering discovery scientists is what we do; enhancing our drug discovery solutions with artificial intelligence adds more power.

Empowering discovery scientists is what we do; enhancing our drug discovery solutions with artificial intelligence adds more power. These resources help you unlock the power of AI throughout the drug discovery and development lifecycle.

White Paper

Harnessing AI for breakthroughs in Pharma and Biotech

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