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How AI helps us with patient insights

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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):

  • Improvements in pain
  • Changes in mobility
  • Occurrence and changes to tremors and other neurological responses

In this episode, Dooti and I talk about the following:

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The benefits of a graduate training program

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Interview with Diana, Nick, and Rhys from Veramed

Are you a master’s student or just graduated from a university? Or do you want to bring on statisticians or programmers fresh out of university onto your team? This episode is for you. We’ll talk about a tested and refined program to onboard statisticians without industry experience smoothly. We’ll cover:

  • What is the Graduate Training Program at Veramed?
  • How is the training conducted?
  • What happens after the program?

Veramed’s graduate training program aims to smooth the transition from graduate to effective member of a clinical biostatistics team. The comprehensive 12 week syllabus equips you with relevant skills and knowledge so that by the end of the training program you will feel prepared for your new role as a Statistician or Programmer. As well as in depth technical training, you will get an overview of the industry and a range of soft skills to help you manage projects, communicate with clients, and follow specific processes. 

Even if you have some technical experience, our comprehensive program ensures that any potential knowledge gaps are addressed. As the program progresses you will take on more project work and client-specific training, and by the end of the 12 weeks you will have sufficient skills to work on client projects.

Listen to this episode while we dive deep into these advantages of joining this program:

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A virtual summer academy for statisticians

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Interview with Dooti and Qiqi

For today’s episode, Qiqi and I talk about BI-UConn Summer Academy, an initiative we started 3 years ago to help students understand and learn the world of clinical development better and bring them networking opportunities. This hybrid academy is open to both UCOnn students and students outside of UConn. It’s sponsored by Boehringer Ingelheim.

Join us and learn more while we talk about the following points:

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6 steps to prepare before you want to convince your business partner

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Do you have a great idea you want to move forward and you need others to buy in?

Maybe you want to improve a process or implement a new analysis approach. Your business partner might be your study team or your supervisor.

Whenever, we want to change something, we usually need others to agree into the next steps.

Listen to this episode while I discuss the following important points:

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The power of simulations for designing clinical studies and beyond

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Interview with Aiden Flynn from Exploristics

Aiden has first worked on simulations during studying statistics to understand which sample sizes lead to sufficient performance of statistics, which are only asymptotically normal. It helped him in many situations, in which it was difficult to tackle a problem analytically. Simulations help us understand very complex situations, and the development of new treatments is surely a very complex topic.

He has invested an enormous amount of time to leverage simulations for understanding the designs of studies and development programs. In this episode, I discuss the following questions with him:

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The podcast is run in association with PSI