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

Our AI Lab is led by Top 100 AI Leader and Chief Data Science Officer, Tom Chittenden, PhD, DPhil, PStat. The AI Team apply our proprietary, domain-specific Artificial Intelligence (AI) algorithms to reveal novel patterns and causal 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.

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

Related items

AI used to identify and validate major new therapeutic approach to slow and even reverse atherosclerosis

Here we show that endothelial transforming growh factor β (TGF-β) signalling is one of the primary drivers of atherosclerosis-associated vascular inflammation. Inhibition of endothelial TGF-β signalling in hyperlipidemic mice reduces vessel wall inflammation and vascular permeability and leads to arrest of disease progression and regression of established lesions.

Learn more
Tom Chittenden, WuXi NextCODE executive

AI Breakthroughs in Drug R&D:
Probabilistic Programming, Biological Context, and Quantum A.I.

Several advances in A.I. are making a transformative impact on drug R&D—changing the landscape and making it possible to finally uncover the molecular underpinnings and complex pathways of diseases that have long remained mysteries.

Learn More

WuXi NextCODE’s Tom Chittenden Named to Top 100 AI Leaders List

Tom Chittenden, head of WuXi NextCODE’s AI team, was recently named one of the “Top 100 AI Leaders in Drug Discovery and Advanced Healthcare.” Analysts at Deep Knowledge Analytics drew up the list from a pool of several hundred renowned scientists.

Learn More

AI Pinpoints Novel Biological Mechanism Causing Aortic Aneurysm

Latest cardiovascular disease breakthrough in partnership with Yale single-cell biology team provides validated starting point for the development of new therapeutics and disease prevention strategies

Learn More