Oncology Clinical Trial Recruitment

Genomics data is scarce, and it’s scattered across the EMR. Our AI finds patients for precision medicine and oncology trials with unprecedented speed and precision.
– Wout Brusselaers, CEO, Deep 6 AI

Find cancer patients with specific genetic markers in real time

Find patients for oncology clinical trial recruitment and precision medicine trials faster. In a single, intuitive software interface you can query data from millions of electronic medical records (EMRs) to find patients with specific genetic markers in real time. It allows you to precision-match patients to oncology clinical trials based on their phenotypical clinical and genomic profile in minutes rather than months.

With the complexities involved in cancer research, AI solutions can have a measurable impact by simplifying operations and reducing the manual workload for research teams. The Deep 6 AI platform helps pharma companies and research sites streamline clinical trials and real-world data (RWD) projects for cancer research. The technology mines deep, real-time EMR data to help cancer researchers understand the feasibility of running a specific clinical trial, identify eligible patients for clinical trials, and generate real-world evidence with speed and precision.

Access the industry’s deepest source of genomics data

With approximately 80% of patient records containing genomics data in disparate genetic reports and free-text clinician notes, traditional keyword searches won’t cut it. Deep 6 AI allows you to find specific genetic markers in the depths of the medical record across structured and unstructured data. You can query EMRs for 19,000 genes, multiple mutation types (e.g., substitution, deletion, duplication, insertion, and indel), and over 30,000 locus-specific mutation names with unprecedented precision.

Easily find patients with disease progression

Increase your chances of finding patients that are ready for additional or new therapy by precisely identifying patients that have disease progression. Our AI mines documentation in the EMR for terms such as ‘enlarging lymphadenopathy’ or ‘new mass’ that would indicate a patient’s solid tumor cancer is progressing. The result is more accurate feasibility counts and faster clinical research recruitment with less time spent by site staff reviewing and screening ineligible patients.

“The tumor-staging aspect of the Deep 6 AI software is better than what I’ve seen offered by other companies in this space.”

-Dir. Clinical Operations, Top 10 pharmaceutical company

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Make data-driven decisions to accelerate patient recruitment in oncology clinical trials

Accelerate trial design, feasibility, and recruitment.

  • Optimize protocol inclusion and exclusion criteria
  • Assess study and site feasibility faster
  • Reduce site burden by saving time on chart reviews
  • Find patients that might otherwise be missed

Become an AI-powered clinical research team

Clinical trials for oncology and precision medicine are often complex and testing more targeted therapies requires greater precision during patient identification and pre-screening. With AI, we can identify patient populations for cancer trials with the accuracy and timeliness needed for innovative, life-saving treatments. 

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How does this software help identify eligible patients to improve clinical trial enrollment?

With Deep 6 AI, you can more easily and quickly find eligible patients at trial sites to streamline oncology clinical trial recruitment and boost trial participation. The AI mines the industry’s deepest, real-time, real-world data (RWD) to find patients for oncology clinical trials and research projects with unprecedented precision and speed. It queries entire electronic medical record (EMR) systems, including coded data, clinician notes, omics, labs, and pathology reports, to build precise patient cohorts and find better matches for research. 

Does AI integration help with patient recruitment?

Integrating Deep 6 AI can have major benefits on the enrollment process for clinical trials, including cancer research. Many clinical trials have complex eligibility criteria that require searching through the unstructured data of EMRs, where non-coded data are located. AI automates this typically manual process to provide researchers a list of potential matching patients in real time, rather than after months of searching, accelerating patient recruitment and making the process more accurate.

How does Deep 6 AI help select sites for oncology clinical trials?

Sponsors in the Deep 6 AI ecosystem can identify clinical research sites that have a higher concentration of oncology patients that meet the trial’s inclusion and exclusion criteria, based on real-time patient availability. Using our platform, they can estimate the number of eligible patients within a specific site’s catchment area, select clinical research sites that match the trial’s target demographics, and ensure diverse and representative participant recruitment.