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.
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 its 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 offers 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:
- How do you see the role of smartphone apps in clinical studies developing?
- What additional features become possible with such applications?
- Where does this impact studies?
- How will this change the way we analyse studies?
Reference:
Listen to this episode now and share this with your friends and colleagues!
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Dooti Roy, PhD
Dooti is a global product owner and a principal methodology statistician who enjoys developing/deploying innovative clinical research and statistical visualization tools with expertise in creating dynamic cross-functional collaborations to efficiently solve complex problems. She is currently focused on research and methodological applications of Bayesian statistics, artificial intelligence and machine learning on clinical efficacy analyses, patient adherence, and dose-finding. She is passionate about promoting diversity and inclusion, mentoring, cross-cultural collaborations, and competent leadership development. She unwinds with painting, reading, traveling and heavy metal.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
