Literature

ACT June 2020 Deep Lens
Busting Patient Recruitment Bottlenecks in Oncology Trials

Discover how integrated data platforms can help find the best-suited patients for cancer studies and reduce the burden on care teams.

 
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Deep Lens for Clinical Trials

Speeding patients to trials

By identifying patients at the time of diagnosis, our advanced AI-enabled patient recruitment platform compresses study timelines by finding the best-suited patients for clinical trials

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Molecular
Molecular Testing for Treatment of Metastatic Non-Small Cell LungCancer

The recent discovery of relevant biomarkers has reshaped our approach to therapy selection for patients with non-small cell lung cancer. The unprecedented outcomes demonstrated with tyrosine kinase inhibitors in molecularly defined cohorts of patients has underscored the importance of genetic profiling in this disease.

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Deep Lens White Papers
Critical Aspects of a Sustainable Clinical Recruitment Trial

Increasing enrollment into clinical trials is a top priority across the field of oncology. Because the vast majority of those afflicted with cancer receive their care in the community, creating strong clinical research programs in the community-based setting is important. This article comprehensively outlines the most important elements of creating and sustaining a successful community-based research program.

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Deep Lens - Busting Cancer Webinar Slides
Deep Lens - Busting Cancer Webinar Slides

Review our recent webinar slides and learn about the key challenges in recruiting patients for precision medicine studies. Plus, discover how we can use modern technologies to overcome these challenges.

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Accelerating Trial Recruitment
Accelerating Trial Recruitment with VIPER

VIPER optimizes the enrollment process to capture more patients. Download our full infographic to see how we connect the dots from diagnosis to patient enrollment. 

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Abstract #2052: Novel artificial intelligence (AI)-based technology to improve oncology clinical trial fulfillment
Abstract #2052: Novel artificial intelligence (AI)-based technology to improve oncology clinical trial fulfillment

An AI-based platform, VIPER, triaged study participants across 20 different cancer studies simultaneously, allowing identification of patients for interventional studies (previously not attempted at a hospital due to resource constraints). See the poster for more information. 

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5 Biggest Patient Recruitment Problems for Providers
5 Biggest Patient Recruitment Problems for Providers

Discover how VIPER solves the 5 biggest patient recruitment problems for Providers by downloading our infographic. You will learn more about:

  • Remote patient screening
  • Trial matching and reporting
  • Eliminating budget constraints
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