Matching the right patient with the right trial at the right time.

Deep Lens' patient identification solutions accelerate oncology clinical trial enrollment by connecting trial sponsors to community oncology practices at scale.

For Providers
For Trial Sponsors
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85%

of clinical trials

fail to meet

planned timelines

11%

of study sites

won't enroll

a single patient

1 in 33

Adult cancer

patients participate

in clinical trials

Deep Lens accelerates clinical trial enrollment

Precision medicine changed the game in oncology clinical trials. Biomarkers can confidently identify eligible patients, but result in competition for patients at care sites.

By focusing on community oncology, Deep Lens is helping to open new doors for clinical trial managers. The result is as much as a 300% increase in accrual rates. Learn more about how we accelerate clinical trials below.

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Community Oncology Focused

The Deep Lens Unity Network is the fastest growing community oncology network in the country. Check out all the benefits of membership here.

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Experienced Clinical Staff

Dedicated clinical research coordinators work with care teams to pre-screen eligible patients. Spend more time on patient care and less on chart review.

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AI-Powered Patient Identification

VIPER is Deep Lens’ AI-powered platform that identifies patients based on trial criteria. Easy to use dashboards ensure your enrollment goals stay on track.

Read our case study to understand how Deep Lens leveraged the VIPER platform to identify eligible patients and onboard a new study site within weeks.

Case Study - Deep Lens Phase 1-2 Biomarker Study - April 2021 - Image

 

I am encouraged that Deep Lens has developed a promising solution to tackle some of the underlying obstacles that are challenging to our sites

- James Langford
Vice President of Clinical Operations, AIVITA Biomedical

Trusted by these partners:

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Broome Oncology
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OO logo
Pacific Cancer Care
Lantern Pharma
Beverly Hills Cancer Center
ICOP
Central care cancer center
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