Amazon Web Services has launched Amazon Bio Discovery, an AI-powered platform to accelerate early-stage drug discovery by enabling researchers to generate and evaluate antibody candidates and drug molecules without coding.

The tool routes AI-designed antibody candidates to Twist Bioscience and Ginkgo Bioworks for synthesis and testing, with results fed back into the same interface to close the loop.

Lab results can be automatically fed back into the system, enabling continuous analysis and iterative refinement between integrated labs and researchers.

Labcorp and Datavant link biomarker data with medical claims to identify patient cohorts for clinical trials, aiming to scale expansions across inflammatory diseases, cardiometabolic conditions, women’s health, and oncology, and noting Labcorp’s role in supporting a large share of FDA approvals in 2025.

The coverage highlights related collaborations and the broader AI-driven drug discovery landscape, emphasizing faster design-to-testing cycles and integrated data workflows.

Early adopters include Bayer, the Broad Institute, Memorial Sloan Kettering Cancer Center, and Voyager Therapeutics, with AWS noting widespread usage among top pharma companies.

AWS also notes that 19 of the top 20 global pharmaceutical companies already rely on its cloud services.

Other efforts showcased include an AI-powered real-world data platform for Alzheimer’s research with Labcorp and Datavant, AI-enabled clinical trial site selection with Merck and BCG, and Verily’s Workbench integration for AWS users.

In Memorial Sloan Kettering’s project, nearly 300,000 novel antibody molecules were generated, with the top 100,000 sent to Twist for testing, compressing the process from a year to weeks.

A similar MSK collaboration generated and narrowed hundreds of thousands of candidates to a testing set within weeks, illustrating dramatic acceleration.

Researchers can initiate experiments where the AI agent searches data sources and biological factors, providing references and scientific rationale for predictions.

The workflow allows sending top candidates directly to Amazon’s integrated lab partners for synthesis and testing, reducing handoff delays and speeding the overall timeline.