How Can Artificial Intelligence Transform The Clinical Trial Arena? - ACRI
The clinical trial field is already very challenging with researches being made over new ailments and improvements on old medications. So, anything done to overcome these challenges could be of great help. And, artificial intelligence (AI) is one such element, which when combined with Big Data, holds the potential to resolve many such challenges.
The combination can increase trial efficiency through better protocol design, patient enrolment, patient retention, etc. Anyways, sponsors are looking for ways to accelerate timeliness and reduce costs because clinical trials account for 40% of the entire research budget; and AI can help with such cost-effectiveness and efficiency. This is possible with data-driven protocols and strategies that are powered by advanced AI algorithms processing the data collected from mobile apps, electronic records, mobile sensors, and other such sources. Data quality is improved, while increasing patient retention and compliance; thus allowing effective and reliable treatment more than ever before. Obviously, newer challenges are presented with these new elements, but on the whole, the entire process becomes cost-effective, hassle-free, and reliable.
Even so, AI has the capability to transform clinical trials by uncovering new therapeutic options in masses of data that can't be found by humans. This transformation begins with protocol development, reducing or replacing outcome assessments, and utilizing remote connected technologies that reduce the need for patients to travel long distances for site visits. Furthermore, masses of real world data can be included into protocol designs, unlike in the case with traditional processes. Objective data from sensors and mobile devices captured in real time data from individuals carrying out their normal activities can capture more meaningful clinically relevant insights. Such real-time real-world data with wearable devices can produce consistent and objective evidence of actual disease states and can impact drug efficacy on disease symptoms, unlike in the case of verbal or written evidence from patients at clinical visits and clinic observations. With wearable devices, a wide range of signals can be captured like heart rate, blood pressure, activity/inactivity throughout the day, which isn't possible through human assessment. Thus, with AI, much richer and more detailed amounts of data can be collected!
With all of this happening remotely, patients can comfortably be at home without having to travel long distances to the clinic frequently. This ultimately reduces the burden on patients, lowers site costs, and improves the quality of patient retention. In fact, patients can also send feedback on treatment symptoms and manage medication intake, and share information with researchers easily right from home. All of this thus affects patient retention.
All-in-all, Artificial Intelligence when incorporated into clinical trials can generate new insights into disease processes that can open up new treatment opportunities. It also brings potential of personalized medication by identifying patient responses to treatments; thus reducing the risk of drug development by creating predictive models that are much more powerful.
Just like Artificial Intelligence has made its mark in the clinical research industry to help patients test and report from home, Avigna Clinical Research Institute has also innovatively developed its educational system to help students learn and attain professional education from the comfort of their home! With its self-designed online courses that are led by professional teachers, students can learn from anywhere and at anytime without disturbing their current jobs and responsibilities, and attain a valid and legitimate post graduate diploma in clinical research Bangalore.
Suggested Topics: Clinical Research Trends of 2018, Clinical Trails Are Important to Improve Medical Care, Why Participating in a Clinical Trail is a Good Thing, Different Types of Clinical Research
