Anumana

Anumana™ is making early disease detection possible by catalyzing Mayo Clinic medical insight with nference scientific expertise to develop and commercialize digital sensor diagnostics. We are harnessing industry-leading AI and translational science to decode the electrocardiogram (ECG) as never before — as a deep predictive tool and biomarker of disease — empowering care providers to help patients before they suffer life-threatening events.

Serious cardiovascular diseases affect millions of people worldwide, often going undiagnosed for years until symptoms advance and patients deteriorate. Innovations enabling early detection would enable healthcare providers to intervene with beneficial treatments for patients.

Mayo Clinic created the world’s first patient-centered health record more than a century ago, and today is home to one of the world’s largest repositories of ECG and associated patient records, rich in potential for yet-to-be-discovered medical knowledge. Yet this data remains vastly underutilized, as the majority resides in problematic unstructured and semi-structured formats. Structuring these elements is the key to decoding them.

Industry-leading nference technology has cracked the code with AI-enabled augmented curation that transforms unstructured data into labeled data format at scale impossible by manual curation. We have built the world’s largest labeled dataset, enabling training of state-of-the-art AI algorithms to see patterns in ECGs that humans cannot.

Anumana is developing AI-enabled ECG algorithms for real-world physician use, integrating point-of-care applications into existing workflows. Our research is demonstrating that care teams working with our AI-enabled tools are able to diagnose otherwise hidden conditions earlier than ever before. Our rich, innovative pipeline of AI-enabled algorithms has the potential to unlock the language of the heart, empowering physicians to help patients through earlier diagnoses and interventions.