AI Services

AI to advance biological science

Purpose-built, trained on multi-omic and phenotypic data, honed by computational biology experts.

Discover new, actionable insights

We apply our proprietary, domain-specific Artificial Intelligence (AI) algorithms to reveal novel patterns and casual dependencies to advance biological understanding.

Our approach uncovers new and actionable insights from the exponentially growing pool of genomic and phenotypic data in precision medicine. Our capabilities speed genomic research as well as drug discovery, design, and development, including optimal clinical trial design.

Reproducible results

Our process is transparent and reproducible, making biological interpretation possible.

Gene level interrogation

Our proprietary AI approach enables translation from gene cluster model to specific genes/pathways that most strongly drive classifications.

Novel pathway elucidation

AI can reveal novel disease pathways that represent new potential effective drug targets.

3 members of WuXi NextCODE's AI and deep learning team

AI for Genomics

We provide leading-edge data analysis to:

  • Identify driver genes in molecular pathways to design new drugs or diagnostics
  • Leverage pathogenic variants to identify previous undiagnosed patient sub-types
  • Classify/diagnose patients based on genomic markers
  • Discover indicator of progression or survival within and across diseases

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AI Reveals New Discovery in Cardiovascular Disease & Cancer

Yale scientists publish a study in Nature that shows how WuXi NextCODE's AI and genomic analysis technology revealed an unknown cause of cardiovascular disease.

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AI Identifies Key Genetic Markers for Rare Metabolic Syndromes

We're proud to announce a new partnership with Rhythm Pharmaceuticals that will accelerate drug discovery for rare genetic obesity disorders.

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How Somatic Mutations May Contribute to Neurodegenerative Disease

Boston Children’s Hospital and Harvard Medical School-led study in Science leverages WuXi NextCODE's expertise in feature selection and pathway enrichment. Study shows how individual neurons accumulate mutations over time and how this process differs between normally aging people and those with early-onset disease.

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