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Many are wondering – what is Deep 6 AI?
From enhancing human capabilities to automating complex tasks, AI has proven its potential to reshape industries across the globe. Amidst this transformative wave, one name stands out in the clinical trials space: Deep 6 AI.
Finding the right patients during patient enrollment for clinical trials can be a challenging task. In fact, a recent study shows that 40% of trials fail to meet their recruitment goals. Recruiters have to find patients from a minimal pool of eligible candidates. They must also consider various aspects to ensure the patients are eligible for the trials. This is where Deep 6 AI comes into the picture – using artificial intelligence to assist clinical researchers through sorting unstructured patient data, pathology reports, physician notes, electronic medical records and more.
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In this article, we will delve into the fascinating world of Deep 6 AI, exploring its origins, core capabilities, and the transformative potential it holds for healthcare systems and more efficient clinical trials.
An Overview of Deep 6 AI
Founded in 2016, Deep 6 AI is based in Pasadena, California. The company aims to bring innovative healthcare treatments to patients faster. Clinical trials are often delayed; finding suitable patients takes several days or months. This impacts the speed of innovation in the healthcare field. Enter Deep 6 AI; the process can be reduced to a few minutes allowing more times for the experimental therapies to take place.
Deep 6 AI is a precision research software. It leverages AI to analyze a vast chunk of patient data to find those who are eligible for clinical trials. Patient data is scattered across various systems, such as electronic health records (EHR), prescriptions, various graphs and reports, pathology notes, etc. However, gathering data from all these sources and finding an eligible patient complicates clinical trial recruitment.
Deep 6 AI’s algorithm uses Natural Language Processing (NLP) to understand and analyze information from these sources. This helps clinicians find eligible patients within minutes. Moreover, the algorithm can analyze unstructured data to find useful information, making it even more efficient at matching patients and clinical trial protocols in real time. This may have huge advantages as finding the correct patients for a trial can be a needle in a haystack-type situation.
It is a member of Nvidia’s Inception program, which helps startups to scale faster through fresh funding from investors and research sponsors. Deep 6 AI uses the NVIDIA TITAN GPU to accelerate the creation of custom data analysis algorithms.
How Does Deep 6 AI Work?
Seep 6 AI platform starts by collecting structured data. This includes all the coded data in the medical records. For instance, it will take ICD codes, LOINC codes, age, gender, etc. Gathering and analyzing data is very straightforward. You can think of it as extracting data from a relational database. Hence, most precision matching software does this.
However, Deep 6 AI also goes beyond this by tapping into unstructured data. Unstructured data holds a lot of vital information. For instance, free-form clinical notes contain data like the patient’s chief complaint, psychological and emotional well-being, laboratory and imaging results, symptoms, risk factors, etc.
Deep 6 AI considers all the structured and unstructured data for better analysis. This
Who Is the Founder of Deep 6 AI?
Wout Brusselaers, formerly the founder of WishQube, is the founder and CEO of Deep 6 AI. He has also had many other past jobs, including management consultant at ThinkArch Consulting and Vice President of International Operations at Inter-Con Security Systems.
Many AI platforms exist for matching patients with clinical trials. However, Deep 6 AI takes it a bit further by considering both structured and unstructured data for better accuracy and coming up with matches within a few minutes.