Videos

Precision Medicine: Changing the way we think

Precision medicine is a huge benefit to cancer patients. Care teams face challenges in sorting through all the data manually. With VIPER, we help care teams by using analytics and artificial intelligence to analyze the data. This helps them to put patients through to get the best care possible.
What Does Deep Lens Do

Simon Arkell, President & Co-Founder of Deep Lens talks about how Deep Lens is driven to help patients with cancer get access to the therapy they deserve through technology.
Patients now in control of their own care

Cancer therapies don't always work well the first time. With more information available, most patients want to be in control of their own care. VIPER helps make the information available to care providers to choose the right therapy for the right patient at the right time.
Catching More Patients for Biomarker Testing

David R. Braxton, MD discusses catching more patients for biomarker testing.
Precision Medicine and Challenges for the Care Team

Patients are open to a lot more opportunities to therapies can improve outcomes. There are also challenges for their care team to get them to the right care that they need. Deep Lens helps care teams overcome the problem through analytics and artificial intelligence.

Medical Trials Using AI

The modern world actively seeks to make the mechanisms and functions of our lives easier. But while attempting to make life easier, we often face challenges along the way.
The Big Data Problem

Deep Lens tries to solve that problem to match patients with the right clinical trials within the window of opportunity.
Driven by a Mission

Nearly all of our team have been affected by cancer. Simon Arkell, CEO and Co-Founder talks about how this drives Deep Lens on a mission to change the way people get access to the treatment they need.
AI for Rx

Modern medicine has changed, so it seems rather odd that our processes in medicine, for the most part, haven't. For our founder David Billiter, this was a problem he wanted to solve. 
Transforming The Patient Journey

TJ Bowen, Chief Scientific Officer & Co-Founder of Deep Lens discusses how Deep Lens transforms the patient journey, as well as the way care is delivered for clinical trials.
Recruitment challenges and the VIPER solution

At Deep Lens we're transforming the patient journey, as well as the way care is delivered for clinical trials. We're doing that through really helping to fix a major problem in the industry. Right now clinical trials are going unfulfilled and patients are really desperate to get on those treatments or not finding them.
The Deep Lens Story

TJ Bowen, Chief Scientific Officer & Co-Founder of Deep Lens discusses how his Co-Founders of Deep Lens Simon Arkell and Dave Billiter share the mission of helping patients find the best therapy.
Capturing Relevant Data by Going Upstream in Labs

David R. Braxton, MD discusses discusses the the ability to go upstream in laboratories to capture relevant data.
Challenges In Patient Recruitment in Community

David R. Braxton, MD discusses the challenges in patient recruitment for clinical trials in community settings.
Utilizing Technology to Flag Patients for Biomarker Testing

David R. Braxton, MD discusses how Deep Lens technology will flag patients who need biomarker testing. 
Healthcare Diagnostic Tools

David R. Braxton, MD discusses Healthcare diagnostic tools and how streamlined data can make significant impacts on clinical operations. 
SCRS Talks to Deep Lens 

Oncology trials present a unique challenge in the clinical research space, particularly when it comes to patient recruitment. Watch Dave Billiters interview here. 
Clinical Research Patient Recruitment Made More Efficient and Remotely

Simon Arkell was recently interviewed by Dan Sfera for his podcast "Random Musings From The Clinical Trials Guru". 
SCRS Webinar

How Lab agnostic Genomic Data Ingestion Is Automating the Oncology Clinical Trial Screening Process. The interpretation of genomic test results is challenging for those untrained in this field. 

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