Archives for April 2021

Learnings about data visualization from 1 year of Wonderful Wednesday Webinars

By Reine Escalona on 2021-04-27 0

Interview with Steve Mallett and Bodo Kirsch

Data visualization is at the heart of what we are doing (or should be doing) as statisticians. It moved from being a side topic a couple of years ago into a central part of the PSI conference in 2021. The upcoming PSI conference features 2 data visualization expert from the Financial Times as keynote speakers in addition to an interactive training and a contributed session about data visualization. A couple of further sessions will likely have a heavy emphasis on data visualization in a specific field like benefit-risk.

The Wonderful Wednesday Webinar series was introduced in an earlier episode. In this episode we dive deep into what has happened over 1 year of the Wonderful Wednesday Webinars. This great series on visual analytics helped us to learn how we can use visualizations of data in our development process and beyond. Bodo as the new chair and Steve as an early member are talking with me about this initiative of the EFSPI/PSI Visualisation special interest group.

Join us while we discuss the following points:

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Welcome to Sam Gardner and insights into non-clinical statistics

By Reine Escalona on 2021-04-20 0

Interview with Sam Gardner

Let’s welcome Sam Gardner as our new co-host for our podcast show! In his first episode as a co-host, we spend some time getting to know more about him while he answers the questions below:

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How AI helps us with patient insights

By Reine Escalona on 2021-04-13 0

Interview with Dooti Roy

Everybody talks about AI, but where are the actual use cases? In the episode today, I’m talking with Dooti Roy about AiCure.

AiCure uses an easy-to-use, proprietary AI platform to directly engage and provide support to patients via smartphones to deliver meaningful, high-quality data around patient behavior.

Real-time patient data facilitates better decision-making.
Real-time access to patient data helps inform safety and efficacy results.

Through the ePro features and functionality within the Patient Connect app, AiCure makes it simple for patients to chronicle their symptoms, providing insight beyond adherence alone.

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Adherence Data – Importance Beyond Efficacy and Safety

Patient medication adherence is extremely important for ensuring the high quality of data throughout the course of a clinical trial. AiCure’s customers rely on an adherence solution through the Patient Connect app to collect dosing data, but the value doesn’t end there. Not only does the app, via it’s reminders and easy to follow dosing guidance, help to increase patient adherence, it also provides 24/7 visibility for the study team, giving them clear insights into what’s happening with their patients in between clinic visits.

This round-the-clock data collection produces other benefits. Through the proprietary AI, AiCure offer sponsors predictive analytics that can be shared with potential customers following the study. These analytics can show a range of potential patient benefits, such as:

Performance of the therapy over time
Likelihood of side-effects

AiCures Digital Biomarkers use facial and voice recognition, collected with a smartphone or similar device, to help flag symptom changes – many of which can be extremely subtle. Ranging from the obvious, like detecting jaundice, to nearly imperceptible changes in facial or voice affect, characteristics picked up by the app tell us a lot about how patients are being affected by the therapy. By utilizing these biomarkers, data is collected that can show (among other things):