Dyania Health (Scale Up 5 Cohort) is transforming healthcare through its proprietary, LLM-based end-to-end solution, Synapsis AI, which automates electronic medical record review for pre-screening patients' clinical trials or observational studies, registry reporting, identifying certain therapeutic gaps, measuring quality of care, and supporting evidence-based care pathways. What typically takes a human 30 minutes, Synapsis AI completes in under 0.5 seconds with greater accuracy than human medical professionals. Its EMR-agnostic design leverages structured and unstructured data, enabling engagement with diverse patient populations across the U.S. and globally all major disease and therapeutic areas. Synapsis AI not only simplifies patient identification in existing clinical research workstreams, but also identifies candidates who would never have been found otherwise, increasing patient access to valuable care.

Dyania in Three:

What problem is Dyania solving? Dyania Health addresses the healthcare challenge of automating manual abstraction of electronic medical records at scale, managing the complexity, inconsistency, and mis-documentation of structured and unstructured healthcare data, while handling the volume and frequent updates of medical records, all with greater accuracy than trained human medical professionals.

What’s innovative Dyania? Dyania has a unique and multidisciplinary team structure comprising of full-time physicians, specialized AI researchers, and engineers, all of whom comprise the Dyanian Triad that rigorously build and train Synapsis AI through a proprietary process.

Who can use Dyania? Healthcare systems, pharmaceutical companies as well as healthcare and technology organizations interested in automating chart abstraction for various use cases.

Dyania Health is disrupting and transforming the way companies and research organizations leverage unstructured data that can create immense clinical value. The Dyania Health team has a combined over 800 academic publications and 120 years of experience in clinical research, drug development, and clinical technologies with backgrounds across top-tier organizations including Morgan Stanley and Amazon.