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2024_Why_Realyze

Increase clinical trial matching by 10X.

Apply AI technology to match patients to clinical trials in seconds, not hours.

Attract new patients and boost revenue per patient.

Reduce leakage, diversify treatment options, and increase revenue per patient by $150,000 or more.

Advance institutional reputation and rankings.

Expand research capacity, grow revenue from research, and launch and complete more trials, faster.

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Increase clinical trial matching by 10X.
Apply AI technology to match patients to clinical trials in seconds, not hours.
Attract new patients and boost revenue per patient.
Reduce leakage, diversify treatment options, and increase revenue per patient by $150,000 or more.
Advance institutional reputation and rankings.
Expand research capacity, grow revenue from research, and launch and complete more trials, faster.
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Scaling clinical trial matching is challenging, but critical. 

Million Patients
0

are diagnosed with cancer annually in the US 

Billion
$ 0

in research funding is spent on clinical trials annually in the US  

< 0 %

of eligible patients enroll in clinical trials  

Increase trial enrollment by 10x.

  • Review 1,000s of patients against hundreds of trials, instantly.  
  • Auto-match patients pre-visit and discuss in their next appointment.  
  • Enhance study outcomes by improving patient matching. 

Trial matching in seconds, not hours.  

  • Apply AI to efficiently scale trial enrollment.  
  • Save time and money by eliminating manual trial matching.  
  • Dramatically expand enrollment without additional staff or costs. 

Attract new patients and boost revenue per patient.  

  • Reduce leakage and improve patient retention. 
  • Diversify treatment options and improve patient outcomes.  
  • Increase revenue per patient by $150,000 or more. 

Advance institutional reputation and rankings.

  • National Cancer Institute designation tied to research.  
  • Commitment to clinical research factored into U.S. News Rankings.  
  • Increase sponsor relationships by running successful clinical trials.