The startup develops clinical data software that utilizes artificial intelligence and natural language processing to extract relevant clinical data points and create unified patient graphs from fragmented medical documents. This technology enables healthcare professionals to efficiently identify and match eligible patients to clinical trials, enhancing recruitment processes and improving trial outcomes.
Funding
$50.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CSPVFounders
Product
Problem
Clinical trial recruitment is often slow and inefficient due to the difficulty of identifying eligible patients within the vast amount of fragmented medical data. Manual data validation is time-consuming, delaying trial launches and hindering the development of new therapies.
Solution
Deep 6 AI offers a precision-matching software platform that accelerates clinical trials by pinpointing eligible patients in real time. The platform leverages cutting-edge AI and natural language processing (NLP) to mine millions of patient records, including unstructured data like physician notes, pathology reports, and lab results. By representing patients as dynamic, holistic graphs and mapping over 120 ontologies, Deep 6 AI generates clinical insights and facilitates precision patient matches using both inclusion and exclusion criteria. The system provides real-time queries that show the impact of different criteria on patient totals and identifies potential matches, enabling researchers to optimize trial design, site selection, and patient recruitment.
Target Audience
The primary target audience includes healthcare organizations, life sciences companies, and clinical researchers involved in clinical trials, particularly those focused on oncology and precision medicine.
Features
- AI-powered search of structured and unstructured data within patient records
- Concept mapping that represents patients as dynamic, holistic graphs
- Real-time queries showing the impact of inclusion and exclusion criteria on patient totals
- Identification of partial matches, highlighting patients who could qualify with additional data
- A single search across the entire Deep 6 AI ecosystem for sponsors
- Integration with major health systems and research facilities
- Support for oncology clinical trial recruitment, including identification of patients with specific genetic markers
- Continuous updates as new patients are added and patients who are no longer qualified are removed