We are developing novel causal artificial intelligence and machine learning (AI/ML) and unconventional computing strategies to better understand human biology – and then apply these to deliver better medicine and improve health for people around the world.
Our AI team has a long track record of landmark advances in the application of machine learning and unconventional computing to human biology. Peer-reviewed and published, our innovative applications of five core pillars of know-how span a broad range of capabilities, diseases and challenges from drug discovery and development to digital medicine. These include:
A pioneering approach with purpose-built AI designed to advance biological science - trained on multi-omic and phenotypic data, led by some of the top minds in AI globally.
Our approach aims to uncover new and actionable insights from the exponentially growing pool of genomic and phenotypic data in precision medicine. Our capabilities are designed to help speed genomic research as well as drug discovery, design, and development, including optimal clinical trial design.
Boston Children’s Hospital
Harvard Medical School
Systems Biology Ireland
UMass Medical School
University of Oxford
University of Southern California
University of Strasbourg Medical Center
Washington University School of Medicine
Yale University Medical School
Genuity's AI/ML team publishes its discoveries and novel methods in leading peer-reviewed journals. Below are a selection of recently published breakthrough contributions, from the first successful application of quantum approaches to human multiomics data to in vivo-validated causal biology in cardiovascular disease.
