Our CEO, Wout Brusselaers, was featured on OC Talks last week, a podcast from Oncology Central. In this discussion, he outlines the challenges most researchers face when finding patients for clinical trials.
He specifically addresses some of the unique challenges that come with recruiting patients for oncology clinical trials:
“In oncology more so than in any other therapeutic area, time is a decisive factor. Patients who have been diagnosed with a cancer do not have that much time. I mean disease progression can be quite aggressive. So you want to put them on a clinical trial as soon as possible. The other factor is that if you get diagnosed with the cancer probably, you will start some kind of the treatment whether it is radiotherapy or whether it is chemotherapy or another therapy very soon after diagnosis. That means you have only a very small window of time to identify a clinical trial for the patient and put that patient on the trial before we start a competing line of therapy. Once you start another line of therapy, most patients become ineligible for a clinical trial.”
Wout also explained the deep value artificial intelligence can bring not only to clinical trial recruitment, but all stages of clinical research:
“AI has the ability to deal with all of the unstructured data. An AI can learn from what it sees in the data and help fill in the blanks when certain data points are missing. Based on those capacities or capabilities, it can radically accelerate the ability to find basis for trials, and it can actually use its ability to search data across the entire value chain of the clinical trials starting with trial design, feasibility, site selection, patient recruitment and also under study management because AI can also find in data actually real time outcomes and feed them back to the research teams in real time or quasi-real time. So you can see the impact of the device or drug that is part of a clinical study as close as possible to real time. And then make a decision in order to basically adapt the trial to the needed outcomes of what you are seeing. It can also help with adaptive trial design.”
Listen to the full podcast to hear about:
- The common misconceptions about how artificial intelligence is being used today
- How we are protecting patient data in our platform
- How innovation in clinical research can have a much wider impact on healthcare
Stay up to date during this period of rapid growth in the clinical research ecosystem by checking out this podcast and hearing about these exciting advancements. Also be sure to subscribe to our newsletter!